WO2016202189A1

WO2016202189A1 - Image coding and decoding methods, image processing device, and computer storage medium

Info

Publication number: WO2016202189A1
Application number: PCT/CN2016/085015
Authority: WO
Inventors: 林涛; 李明; 吴平; 尚国强; 吴钊
Original assignee: 同济大学; 中兴通讯股份有限公司
Priority date: 2015-06-14
Filing date: 2016-06-06
Publication date: 2016-12-22

Abstract

Disclosed are an image coding and decoding methods, an image processing device, and a computer storage medium. The image coding method comprises: obtaining a dynamic range of a copy parameter of a current coding sampling value segment according to a size of a reference area; and coding the copy parameter according to the dynamic range to generate a video bitstream containing information about the size of the reference area and information about the copy parameter. The decoding method comprises: parsing a video bitstream to obtain a dynamic range of a copy parameter of a decoding sampling value segment; and decoding the copy parameter according to the dynamic range. Alternatively, the image coding method comprises: coding a copy parameter of a coding sampling value segment according to a dynamic position and size of a reference area; and generating a video bitstream containing information about the position and size of the reference area and information about the copy parameter. Alternatively, the image coding method comprises: coding a copy parameter of a current coding sampling value segment according to a dynamic position and size of a reference area; and generating a video bitstream containing information about the position and size of the reference area and information about the copy parameter.

Description

Image encoding and decoding method, image processing device, computer storage medium

Technical field

The present invention relates to digital video encoding and decoding technologies, and in particular, to an image encoding and decoding method, an image processing device, and a computer storage medium.

Background technique

With the development of televisions and monitors entering ultra-high definition (4K) and ultra-high definition (8K) resolutions, as well as the development and popularization of a new generation of cloud computing and information processing modes and platforms based on remote desktops, video images The need for data compression is also moving toward higher resolution and composite images containing camera-captured images and computer screen images. Ultra-high compression ratio and extremely high-quality data compression of video images have become an indispensable technology.

Taking full advantage of the characteristics of 4K/8K images and computer screen images, HEVC (High Efficiency Video Coding) is also the latest international video compression standard and several other international standards and domestic standards under development. A major goal of industry standards.

A notable feature of computer screen images is that there are often many similar or even identical pixel patterns (pi × el pattern) within the same frame image. For example, Chinese or foreign text that often appears in computer screen images is composed of a few basic strokes, and many similar or identical strokes can be found in the same frame image. Menus, icons, etc., which are common in computer screen images, also have many similar or identical patterns. Therefore, the existing image and video compression technologies usually adopt various copying methods, including at least the following copying methods:

1) Intra block copying means intraframe block matching or intraframe motion compensation or block matching or block copying.

2) Intra-frame micro-block copying means intra-frame micro-block matching or micro-block matching or micro-block copying.

3) Intra-frame lines (referred to as strips) are copied, that is, intra-frame matching or strip matching or strip copying.

4) Intra-frame string replication means intra-frame string matching or string matching or string copying or pixel string copying.

5) Palette index string copy is a palette or index string copy.

6) Fusion copy mode of index string copy and pixel string copy, referred to as index-pixel string fusion copy mode, also called palette-pixel string fusion copy mode or merged pixel string copy palette mode or fusion palette Pixel string copy mode or palette with pixel string copy mode.

7) Multiple palettes and pixel string copying methods combining multiple palettes and pixel string copying methods.

The most common type of reference pixel sample set is a reference area adjacent to or near the current pixel sample segment. The reference area is finite, so the range of values of the copy position, ie the motion vector, is also limited. In various replication modes, when the motion vector is encoded or decoded, the range of the value of the motion vector is not limited, thereby consuming unnecessary bits, which greatly reduces the compression efficiency of the copy mode. In particular, the multi-pixel segment copy mode with multiple motion vectors in the codec block, such as the microblock copy mode, the strip copy mode, the pixel string copy mode, the palette and the pixel string copy mode, and the compression efficiency.

Summary of the invention

To solve the above technical problem, an embodiment of the present invention provides an image encoding and decoding method, an image processing device, and a computer storage medium.

An image coding method provided by an embodiment of the present invention includes:

Obtaining a dynamic limit of a copy parameter of the current coded sample segment according to the size of the reference area;

And encoding the copy parameter according to the dynamic limit to generate a video code stream including reference area size information and copy parameter information.

In the embodiment of the present invention, the coded bits of the reference area size information and/or the reference area position and the size information and/or the value range information of the motion vector are written into one or more of the video code streams:

Video parameter set, sequence parameter set, image parameter set, slice header, coding tree unit (CTU) header, coding unit (CU) header, codec block header.

In the embodiment of the present invention, the copy parameter is a motion vector.

In the embodiment of the present invention, the dynamic limit of the copy parameter is one of a dynamic upper limit, a dynamic lower limit, a dynamic left limit, and a dynamic right limit of the motion vector, or multiple or all.

In the embodiment of the present invention, the method further includes:

And according to the dynamic limit, a truncated k-th order exponential Columbus code binarization and entropy coding having a cutoff value corresponding to the dynamic limit is performed on the copy parameter, where k≥0.

The image decoding method provided by the embodiment of the present invention includes:

Parsing the video code stream to obtain a dynamic limit of the copy parameter of the decoded sample segment;

The copy parameters are decoded according to the dynamic limit.

In the embodiment of the present invention, the parsing the video code stream to obtain the dynamic limit of the copy parameter of the decoded sample segment includes:

Parsing the video code stream, and acquiring at least one of the following information: reference area size information, reference area position and size information, and value range information of the motion vector;

A dynamic limit of the copy parameter of the decoded sample segment is determined based on the acquired information.

In the embodiment of the present invention, before decoding the replication parameter according to the dynamic limit, the method further includes:

Parse the code stream and obtain the copy parameter information.

In the embodiment of the present invention, the following one or more corresponding code streams in the video code stream are parsed, and at least one of the following information is obtained: reference area size information, reference area position and size information, and value range information of the motion vector. include:

Video parameter set, sequence parameter set, image parameter set, strip header, CTU header, CU header, codec block header.

In the embodiment of the present invention, the method further includes:

And according to the dynamic limit, a truncated k-th order exponential Columbus code binarization and entropy decoding having a truncation value corresponding to the dynamic limit is performed on the copy parameter, where k≥0.

An image encoding method provided by another embodiment of the present invention includes:

Coding the copy parameters of the coded sample segment according to the dynamic position and size of the reference region;

A video code stream including reference area position and size information and copy parameter information is generated.

In the embodiment of the present invention, the dynamic limit of the copy parameter is one, a plurality, or all of a dynamic upper limit, a dynamic lower limit, a dynamic left limit, and a dynamic right limit of the motion vector.

In the embodiment of the present invention, the dynamic position of the reference area is represented by one or more area motion vectors.

In the embodiment of the present invention, when the motion vector of the coded sample segment is encoded according to the dynamic position and size of the reference region, the reference region is composed of K sub-reference regions having the same shape and size as the codec block. Where K ≥ 1;

The dynamic positions of the K sub-reference regions are respectively represented by corresponding K sub-reference region motion vectors, and the motion vector of the current codec segment is decomposed into a main motion vector and a slave motion vector, wherein the master mobile The vector is equal to the sub-reference region motion vector of the sub-reference region in which the reference sample segment is located.

An image decoding method provided by another embodiment of the present invention includes:

Parsing the video code stream to obtain at least reference area location and size information and copy parameter information;

The copy parameters of the current decoded sample segment are decoded according to the dynamic position and size of the reference region.

In the embodiment of the present invention, the following one or more corresponding code streams in the video code stream are parsed, and at least one of the following information is obtained: reference area size information, reference area position and size information, and value range information of the motion vector. ,include:

In the embodiment of the present invention, when the motion vector of the current decoded sample segment is decoded according to the dynamic position and size of the reference region, the reference region is composed of K sub-reference regions having the same shape and size as the current codec block; , K≥1;

The dynamic positions of the K sub-reference regions are respectively represented by corresponding K sub-reference region motion vectors, and the motion vector of the current codec segment is decomposed into a main motion vector and a slave motion vector, wherein the master mobile The vector is equal to the sub-reference area motion vector of the sub-reference area in which the current reference sample segment is located.

An image processing device provided by an embodiment of the present invention includes:

a first acquiring unit, configured to acquire a dynamic limit of a copy parameter of the current coded sample segment according to a size of the reference area;

a coding unit configured to encode the copy parameter according to the dynamic limit;

And a generating unit configured to generate a video code stream including reference area size information and copy parameter information.

An image processing device according to another embodiment of the present invention includes:

An parsing unit configured to parse the video code stream to obtain a dynamic limit of a copy parameter of the decoded sample segment;

And a decoding unit configured to decode the copy parameter according to the dynamic limit.

a coding unit configured to encode a copy parameter of the coded sample segment according to a dynamic position and size of the reference region;

And a generating unit configured to generate a video code stream including reference area location and size information and copy parameter information.

The parsing unit is configured to parse the video code stream, and at least obtain the reference area location and size information and the copy parameter information;

The decoding unit is configured to decode the copy parameter of the current decoded sample segment according to the dynamic position and size of the reference region.

The computer storage medium provided by the embodiment of the present invention stores a computer program for performing the above image encoding and/or image decoding method.

In the technical solution of the embodiment of the present invention, encoding the image includes: acquiring a dynamic limit of the copy parameter of the current coded sample segment according to the size of the reference region; encoding the copy parameter according to the dynamic limit; generating the reference region Video stream of size information and copy parameter information. Correspondingly, decoding the image comprises: parsing the video code stream, obtaining a dynamic limit of the copy parameter of the decoded sample segment; and decoding the copy parameter according to the dynamic limit. In addition, encoding the image includes: encoding a copy parameter of the encoded sample segment according to a dynamic position and size of the reference region; and generating a video code stream including the reference region position and size information and the copy parameter information. Phase Preferably, the decoding of the image comprises: parsing the video code stream, acquiring at least the reference area position and size information and the copy parameter information; and decoding the copy parameter of the current decoded sample segment according to the dynamic position and size of the reference area. In this way, in the various copying methods, when the motion vector is encoded or decoded, the range of the value of the motion vector is limited, the number of bits is saved, and the compression efficiency of the copy mode is improved.

DRAWINGS

In the drawings, which are not necessarily to scale, the Like reference numerals with different letter suffixes may indicate different examples of similar components. The drawings generally illustrate the various embodiments discussed herein by way of example and not limitation.

1 is a schematic flowchart 1 of an image encoding method according to an embodiment of the present invention;

2 is a schematic flowchart 1 of an image decoding method according to an embodiment of the present invention;

3 is a second schematic flowchart of an image encoding method according to an embodiment of the present invention;

4 is a second schematic flowchart of an image decoding method according to an embodiment of the present invention;

5 is a schematic flowchart 3 and a flow chart 4 of an image encoding method according to an embodiment of the present invention;

6 is a diagram showing an example of a size of a reference area, a position of a reference area, and a dynamic limit of a motion vector in an embodiment of the present invention;

FIG. 7 is a schematic flowchart 3 and a flow diagram 4 of an image decoding method according to an embodiment of the present invention; FIG.

FIG. 8 is a first schematic structural diagram of an image processing apparatus according to an embodiment of the present invention; FIG.

FIG. 9 is a second schematic structural diagram of an image processing apparatus according to an embodiment of the present invention; FIG.

FIG. 10 is a third schematic structural diagram of an image processing apparatus according to an embodiment of the present invention; FIG.

FIG. 11 is a fourth structural diagram of an image processing apparatus according to an embodiment of the present invention.

detailed description

In order to understand the features and technical contents of the embodiments of the present invention in more detail, the following combination The drawings illustrate the implementation of the embodiments of the present invention, and the accompanying drawings are for the purpose of illustration only.

The natural form of a digital video signal of an image is a sequence of images. A frame of image is usually a rectangular area composed of several pixels, and a digital video signal is a sequence of video images composed of tens of frames to thousands of frames of images, sometimes simply referred to as a video sequence or sequence. Encoding a digital video signal encodes a frame by frame image. At any one time, the image of the frame being encoded is referred to as the current encoded image. Similarly, decoding a compressed video stream (also referred to as a bit stream) of a digital video signal is decoding a stream of one frame by one compressed image. At any one time, the image of the frame being decoded is referred to as the current decoded image. The current encoded image or the currently decoded image is collectively referred to as the current image.

In almost all international standards for video image coding, such as MPEG-1/2/4, H.264/AVC, and HEVC, when one frame of image is encoded (and correspondingly decoded), one frame of image is divided into blocks M. The sub-image of the M pixel is called a coding block (from the perspective of decoding, that is, a decoding block, collectively referred to as a codec block) or a coding unit (CU, Coding Unit), and the sub-image is performed one by one with the CU as a basic coding unit. coding. The size of the commonly used M is 4, 8, 16, 32, 64. Therefore, encoding the video image sequence is to encode one CU for each coding unit of each frame image, that is, CU. At any one time, the CU being coded is referred to as the current coded CU. Similarly, decoding the code stream of the video image sequence is also decoding one CU for each CU of each frame image, and finally reconstructing the entire video image sequence. At any one time, the CU being decoded is referred to as the currently decoded CU. The current coding CU or the current decoding CU is collectively referred to as the current CU.

In order to adapt to the difference between the content and the nature of each part of the image in one frame, the most efficient coding is performed in a targeted manner. The size of each CU in one frame of image can be different, some are 8×8, some are 64×64, etc. . In order to enable seamlessly splicing CUs of different sizes, one frame of image is usually first divided into LCUs (Lorgest Coding Units) of the same size and having N×N pixels, and then each LCU is further divided into a tree structure. Multiple sizes are not necessarily The same CU. Therefore, the LCU is also called a Coding Tree Unit (CTU). For example, a frame of image is first divided into 64x64 pixel LCUs of the same size (N=64). One of the LCUs is composed of three 32×32 pixel CUs and four 16×16 pixel CUs, so that seven CUs in a tree structure constitute one CTU. The other LCU is composed of two 32×32 pixel CUs, three 16×16 pixel CUs, and 20 8×8 pixel CUs. Such 25 CUs in a tree structure constitute another CTU. Encoding one frame of image is to sequentially encode one CU in one CTU. In the HEVC international standard, LCU is synonymous with CTU. A CU whose size is equal to the CTU is called a CU with a depth of zero. A CU obtained by dividing the CU up and down and left and right by a depth of 0 is called a CU having a depth of 1. A CU with a depth of 1 and a CU divided into four equal parts is called a CU with a depth of 2. A CU obtained by dividing the CU of the depth of 2 into four equal parts is called a CU having a depth of 3. At any one time, the CTU being coded is referred to as the current coded CTU. At any one time, the CTU being decoded is referred to as the current decoded CTU. The current coding CTU or the current decoding CTU is collectively referred to as the current CTU.

The CU can also be further divided into sub-areas. Sub-regions include, but are not limited to, prediction unit (PU), transform unit (TU), asymmetric partition (AMP) regions.

A color pixel usually consists of three components. The two most commonly used pixel color formats (pi × el color format) are a GBR color format consisting of a green component, a blue component, and a red component, and a luminance (luma) component and two chroma components. YUV color format. The color format commonly known as YUV actually includes multiple color formats, such as the YCbCr color format. Therefore, when encoding a CU, a CU can be divided into three component planes (G plane, B plane, R plane or Y plane, U plane, V plane), and the three component planes are respectively coded; The three component bundles of one pixel are combined into one 3-tuple, and the CUs composed of these 3-tuples are encoded as a whole. The arrangement of the former pixel and its components is called the planar format of the image (and its CU), and the arrangement of the latter pixel and its components is called the stacked format of the image (and its CU). Format). Pixel Both the GBR color format and the YUV color format are pixel 3-component representation formats.

In addition to the 3-component representation format of a pixel, another common representation format for a pixel is the palette index representation format. In the palette index representation format, the value of a pixel can also be represented by the index of the palette. The palette space stores the value or approximate value of the three components of the color of the pixel to be represented, and the address of the palette is referred to as the index of the color of the pixel stored in this address. An index can represent a component of a pixel's color, and an index can also represent three components of a pixel's color. The palette can be one or more. In the case of multiple palettes, a complete index is actually composed of the palette number (which one of the multiple palettes) and the index of the palette of the sequence number. The index representation format of a pixel is to represent this pixel with an index. If the pixels in an image region (such as a coded block or a decoded block) cannot all be represented by the palette color (ie, at least one pixel in the image region, the value of no three components is equal or approximately equal to the pixel) The palette color and its index), there is usually a special index called escape color in the palette, which is used to represent pixels that cannot be represented by normal palette colors. Therefore, if the index of one pixel is an index of the escape color, the pixel needs to express its color with another dedicated 3 components. The normal color and escape color in the palette are called palette colors, but the escape color is a virtual color. There is no physical space in the palette to store this color. There is only one special dedicated virtual index. . The index of the escape color is usually the last index of the palette. The index representation format of a pixel is also referred to as the pixel's index color (inde × ed color) or pseudo color representation format, or is often referred to directly as an index pixel (inde × ed pi × el) or pseudo pixel (pseudo) Pi × el) or pixel index or index. Indexes are sometimes referred to as indices. The representation of a pixel in its index representation format is also referred to as indexing or indexing.

Other commonly used pixel representation formats include CMYK representation formats and grayscale representation formats.

The YUV color format can be subdivided into several seed formats according to whether the chroma component is downsampled: 1 pixel consists of 1 Y component, 1 U component, and 1 V component. YUV4:4:4 Pixel color format; YUV4:2:2 pixel color format consisting of 2 Y components, 1 U component, and 1 V component; 2 left and right adjacent 4×2 spatial positions The pixels are composed of 4 Y components, 1 U component, and 1 V component in a YUV 4:2:0 pixel color format. A component is generally represented by a number of 8 to 16 bits. The YUV4:2:2 pixel color format and the YUV4:2:0 pixel color format are all downsampled for the YUV4:4:4 pixel color format. A pixel component is also referred to as a pixel sample (pi x el sample) or simply as a sample.

The most basic element when encoding or decoding can be one pixel, one pixel component, or one pixel index (ie, index pixel). A pixel or a pixel component or an index pixel, which is the most basic element of encoding or decoding, is collectively referred to as a pixel sample, sometimes referred to as a pixel value, or simply as a sample.

In the embodiment of the present invention, "pixel sample value", "pixel value", "sample value", "index pixel", and "pixel index" are synonyms, and depending on the context, whether "pixel" or "one pixel" is clearly indicated The "component" still means "index pixel" or both. If it is not clear from the context, then it means either of the three.

In an embodiment of the invention, a coded block or a decoded block (collectively referred to as a codec block) is an area consisting of a number of pixel values. The shape of the codec block may be a rectangle, a square, a parallelogram, a trapezoid, a polygon, a circle, an ellipse, and the like. A rectangle also includes a rectangle whose width or height is one pixel value that degenerates into a line (ie, a line segment or a line shape). In one frame of image, each codec block may have a different shape and size. In one frame of image, some or all of the codec blocks may overlap each other, or all codec blocks may not overlap each other. A codec block may be composed of "pixels", or may be composed of "components of pixels", or may be composed of "index pixels", or may be composed of a mixture of the three, or any of the three. Mixed composition. From the perspective of video image encoding or decoding, a codec block refers to an area in which encoding or decoding is performed in a frame image, including but not limited to at least one of the following: a maximum coding unit LCU, A coding tree unit CTU, a coding unit CU, a sub-region of a CU, a prediction unit PU, and a transform unit TU.

A notable feature of computer screen images is that there are often many similar or even identical pixel patterns (pi × el pattern) within the same frame image. For example, Chinese or foreign text that often appears in computer screen images is composed of a few basic strokes, and many similar or identical strokes can be found in the same frame image. Menus, icons, etc., which are common in computer screen images, also have many similar or identical patterns. Therefore, the copying method adopted by image and video compression technology includes at least the following copying methods:

1) Intra block copying means intraframe block matching or intraframe motion compensation or block matching or block copying. The basic operation of block copy coding or decoding is to copy a current code block or a current decoding block (referred to as the current block) from the reconstructed reference pixel sample set by the same size as the current block (the same number of pixel samples). The reference block is referenced and the value of the reference block is assigned to the current block. The copy parameter of the block copy mode includes the displacement vector of the current block, indicating the relative position between the reference block and the current block. A current block has a displacement vector.

2) Intra-frame micro-block copying means intra-frame micro-block matching or micro-block matching or micro-block copying. In microblock copying, a current block (such as 8 × 8 pixel samples) is divided into several microblocks (such as microblocks of 4 × 2 pixel samples or microblocks of 8 × 2 pixel samples or 2 × 4 pixels) The microblock of the sample or the microblock of the 2×8 pixel sample), the basic operation of the microblock copy encoding or decoding is to encode the microblock or the decoded microblock (referred to as the current microblock) for each of the current block, from A reference microblock is copied within the reconstructed reference pixel sample set, and the value of the reference microblock is assigned to the current microblock. The copy parameter of the microblock copy mode includes a displacement vector of the current microblock, indicating a relative position between the reference microblock and the current microblock. A current microblock has a displacement vector. How many displacement vectors are there in how many microblocks a current block is divided into.

3) Intra-frame lines (referred to as strips) are copied, that is, intra-frame matching or strip matching or strip copying. A strip is a microblock having a height of 1 or a width of 1, such as a microblock of 4x1 or 8x1 or 1x4 or 1x8 pixel samples. The basic operation of strip copy encoding or decoding is for each encoding strip or decoding strip in the current block. (referred to as the current bar), copy a reference bar from the reconstructed reference pixel sample set, and assign the value of the reference bar to the current bar. Obviously, strip copying is a special case of microblock copying. The copy parameter of the strip copy mode includes the displacement vector of the current strip, indicating the relative position between the reference strip and the current strip. A current bar has a displacement vector. How many displacement vectors are there in how many bars a current block is divided into.

4) Intra-frame string replication means intra-frame string matching or string matching or string copying or pixel string copying. In pixel string copying, a current coded block or a current decoded block (referred to as the current block) is divided into several variable-length pixel sample strings. The string here refers to arranging the pixel samples in a two-dimensional area of an arbitrary shape into a string whose length is much larger than the width (for example, a string having a width of 1 pixel sample and a length of 37 pixel samples or a width of 2) A string of pixel samples of length 111 pixels, typically but not limited to a length that is an independent encoding or decoding parameter and a width that is a predetermined or derived parameter from other encoding or decoding parameters). The basic operation of string copy encoding or decoding is to copy each reference string from the reconstructed reference pixel sample set to each encoded string or decoded string (referred to as the current string) in the current block, and the value of the reference string Assign to the current string. The copy parameters of the string copy mode include the displacement vector and the copy length of the current string, that is, the copy size, which respectively represent the relative position between the reference string and the current string and the length of the current string, that is, the number of pixel samples. The length of the current string is also the length of the reference string. A current string has a displacement vector and a copy length. How many displacement vectors and how many copy lengths a current block is divided into. The displacement vector is also called the copy position, and its representation forms are: 2D coordinates, linear address, distance, pointer, index, number, mode number, and so on.

5) Palette index string copy is a palette or index string copy. In the palette encoding and the corresponding decoding method, first construct or acquire a palette, and then use some or all of the pixels of the current encoding block or the current decoding block (referred to as the current block) with the palette in the palette. The index of the color is expressed, and then the index is encoded and decoded, including but not limited to: dividing the index of a current block into several index strings of variable length, that is, performing index string copy encoding and decoding. Index string copy The basic operation of encoding or decoding is to encode a string or index decoding string (referred to as the current index string) for each index in the current block, and copy a reference index string from the indexed reconstructed reference pixel sample set, and The index value of the reference index string is assigned to the current index string. The copy parameter of the index string copy mode includes the displacement vector and the copy length of the current index string, that is, the copy size, respectively indicating the relative position between the reference index string and the current index string and the length of the current index string, that is, the number of corresponding pixel samples. The length of the current index string is also the length of the reference index string. A current index string has a displacement vector and a copy length. How many displacement vectors and how many copy lengths a current index is divided into. The displacement vector is also called the copy position, and its representation forms are: 2D coordinates, linear address, distance, pointer, index, number, mode number, and so on. In the palette index string copy mode, the copied reference pixels are taken from the palette. Therefore, the index string is also called a palette color string or a palette pixel string or a palette string, and the index string copy mode is also called a palette copy mode or a palette mode. In the palette mode, strings are also called runs or strokes. Therefore, the index string is also called an index run or index run or simply a run or trip. The palette color of the current block is derived from the pixel color and/or palette color candidate set of the current block, and the palette color candidate set is composed of a portion of the palette color of the codec block that has completed the codec.

6) Fusion copy mode of index string copy and pixel string copy, referred to as index-pixel string fusion copy mode, also called palette-pixel string fusion copy mode or merged pixel string copy palette mode or fusion palette Pixel string copy mode or palette with pixel string copy mode. When encoding or decoding a current coded block or a current decoded block (referred to as the current block for short), some or all of the pixels adopt a pixel string copy mode, and some or all of the pixels adopt an index string copy mode, that is, a reference pixel is taken from a palette. Swatch method.

7) Multiple palettes and pixel string copying methods combining multiple palettes and pixel string copying methods. Encoding and decoding are performed using at least two different color palettes and pixel string copying methods. Different color palettes and pixel string copying methods use different fusion schemes to fuse palette copying and pixel string copying. In one frame of image, part of the codec block uses the palette of the fusion scheme I and the pixel string complex In the system mode, part of the codec block adopts the palette of the fusion scheme II and the pixel string copy mode, and some of the codec blocks adopt the palette of the fusion scheme III and the pixel string copy mode, and the like. Different fusion schemes may differ in the following aspects: 1) the number of types of strings, 2) the range of values of parameters, 3) the range of values of one or several replicated parameters, and 4) the location of the displacement vector Range of values, 5) current index or current pixel position, 6) position of the current sample segment, 7) position of the reference index or reference pixel, 8) position of the reference sample segment; 9) copy shape.

Other methods of copying include rectangular copying, and a variety of copying methods.

The block in the block copy mode, the micro block in the micro block copy mode, the bar in the strip copy mode, the string in the string copy mode, the rectangle in the rectangular copy mode, and the pixel index string in the palette index mode are collectively referred to as A pixel sample segment, referred to as a sample segment. The basic constituent elements of a sample segment are pixel or pixel components or pixel indices. A sample segment has a copy parameter that represents the relationship between the current pixel sample segment and the reference pixel sample segment. Therefore, a sample segment is the smallest unit of a copy operation with the same replication relationship. A copy parameter includes a plurality of copy parameter components, and the copy parameter components include at least: displacement vector horizontal component, displacement vector vertical component, 1 dimensional displacement vector, linear address, relative linear address, index, palette linear address, relative index, toning Board relative linear address, copy length, copy width, copy height, rectangle width, rectangle length, unmatched pixels (also known as no reference pixels, ie non-replicated pixels that are not copied from elsewhere).

In various ways of copying, pixel samples or indexes need to be arranged in a certain order. The arrangement is also called the scanning method. The scanning method can be divided into the following types according to its path shape:

A) Horizontal Z-scan mode is also called horizontal raster scan mode. A pixel sample or index of a coded block or a decoded block (collectively referred to as a codec block) is arranged line by line and arranged in the same direction (all left to right or all right to left) in all rows. Rows and rows can be arranged from top to bottom or from bottom to top.

B) Vertical Z-scan mode is also called vertical raster scan mode. a coding block or a decoding block Pixel samples or indexes, called codec blocks, are arranged in columns and columns, and are arranged in the same direction (all from top to bottom or all from bottom to top) in all columns. Columns and columns can be arranged from left to right or from right to left.

C) Horizontal bow scan mode. A pixel sample or index of a coded block or a decoded block (collectively referred to as a codec block), arranged line by line, arranged in one direction (eg, from left to right) in an odd line and in another (opposite) direction in an even line (eg, from right to left). Rows and rows can be arranged from top to bottom or from bottom to top.

D) Vertical bow scanning method. A pixel sample or index of a coded block or a decoded block (collectively referred to as a codec block), arranged in columns and columns, arranged in one direction (eg, from top to bottom) in an odd column and in another in an even column (opposite ) Directions (eg, from bottom to top). Columns and columns can be arranged from left to right or from right to left.

In the string copy (index string copy or pixel string copy or index string-pixel string merge copy) mode, the basic copy shape has the following two types:

I) One-dimensional linear replication shape. The current string and the reference string are each a one-dimensional sample string formed in the order of a predetermined scanning manner in each codec block, and have equal lengths, but the two-dimensional regions formed by the two strings are not necessarily the same. Two-dimensional shape.

II) Two-dimensional conformal copy shape. The current strings are arranged in the order of the predetermined scanning mode within the current codec block. The reference string remains exactly the same two-dimensional shape as the current string, with equal length.

Each of the above basic replicated shapes can be subdivided into a plurality of replicated shapes according to a specific scanning manner, such as a vertical arcuate one-dimensional linear replica shape, a horizontal Z-shaped two-dimensional conformal replica shape, and the like.

It should be noted that “copying” is an operation of reconstruction and decoding, and the corresponding encoding operation is “matching”. Therefore, various copying methods such as block matching mode, microblock copying mode, line copying mode, pixel string copying mode, and index string copying mode are also called block matching mode, microblock matching mode, line matching mode, and pixel string matching mode. , index string matching method, and so on.

One type of reference pixel sample set is a reference area adjacent or near the current pixel sample segment. The reference area is finite, so the range of values of the copy position, ie the motion vector, is also limited. In various replication modes, when the motion vector is encoded or decoded, the range of the value of the motion vector is not limited, thereby consuming unnecessary bits, which greatly reduces the compression efficiency of the copy mode. In particular, the multi-pixel segment copy mode with multiple motion vectors in one codec block, such as the microblock copy mode, the strip copy mode, the pixel string copy mode, the palette and the pixel string copy mode, and the compression efficiency.

Based on this, an embodiment of the present invention provides an image encoding and decoding method and an image processing device. Before encoding and decoding the motion vector, first limit the value range of the motion vector.

In the embodiment of the present invention, the size of the reference area of one or more codec blocks is fixed. In the embodiment of the present invention, the size of the reference area of one or more codec blocks is bounded. In the embodiment of the present invention, the size of the reference area of the one or more codec blocks is adaptively restricted, that is, the limitation is by other properties of the codec block (eg, the location of the codec block, or The codec block is determined similarly to the pixels of other regions in the image, etc.). In the embodiment of the present invention, the position of the reference area of one or more codec blocks is fixed. In the embodiment of the present invention, the location of the reference area of the one or more codec blocks is adaptively restricted, that is, the limitation is by other properties of the codec block (eg, the location of the codec block, or The codec block is determined similarly to the pixels of other regions in the image, etc.). In the embodiment of the present invention, the value range of the motion vector of one or more current pixel sample segments is fixed. In the embodiment of the present invention, the range of values of the motion vectors of one or more current pixel sample segments is bounded. In the embodiment of the present invention, the value range of the motion vector of one or more current pixel sample segments is adaptively limited, that is, the limit is determined by other properties of the current pixel sample segment (eg, the current The position of the pixel sample segment, or the position of the current pixel sample segment, or the similarity of the current pixel sample segment to pixels of other regions in the image, etc.).

In the technical solution of the embodiment of the present invention, the size and location of the reference area of one codec block are restricted, and the size and location of the reference area of different codec blocks may be limited. It is different and is adaptive and dynamic. The range of values of the motion vector of a current pixel sample segment is limited. The limits of the range of motion vectors of different current pixel sample segments may be different, adaptive and dynamically changing.

In the technical solution of the embodiment of the present invention, in the copy mode, especially the multi-pixel segment copy mode, the reference area is an adaptive and dynamic limited area, and the value range of the motion vector is an adaptive and dynamic limited value range. According to the limitation of the value range of the motion vector, the motion vector is subjected to self-limiting coding and decoding, that is, adaptive and dynamic limited coding and decoding.

In the above solution, the self-limiting codec includes at least a binarization method and an entropy codec having a truncation value corresponding to the restriction.

In the above solution, the self-limiting codec includes at least a truncated k-th order exponential Columbus code binarization method and an entropy codec having a truncation value corresponding to the restriction, where k≥0.

In the above solution, the truncated k-th order exponential Columbus code is a k-th order exponential Columbus code whose prefix and/or its suffix has a cutoff value.

In the above solution, the self-limiting codec includes at least decomposing a set of several motion vectors into one main motion vector and several slave motion vectors.

In the above solution, the adaptive and dynamic limited area is K (K ≥ 1) sub-reference areas having the same size and shape as the current codec block, and the self-limiting codec includes at least the current codec. The motion vector of the block is divided into corresponding K groups, and each motion vector of each group is decomposed into a common main motion vector and each slave motion vector.

In the above solution, one or several of a video parameter set and/or a sequence parameter set and/or an image parameter set and/or a slice header and/or a CTU header and/or a CU header and/or a codec block header of a video code stream The reference area is specified and restricted with one or several syntax elements.

In an embodiment of the present invention, a video parameter set and/or a sequence parameter set and/or an image parameter set and/or a slice header and/or a CTU header and/or a CU header and/or a codec block header of a video code stream Or a number of places with one or several syntax elements to specify and limit the range of values of the motion vector.

FIG. 1 is a schematic flowchart 1 of an image encoding method according to an embodiment of the present invention. As shown in FIG. 1 , the image encoding method includes the following steps:

Step 101: Obtain a dynamic limit of a copy parameter of the current coded sample segment according to the size of the reference area.

Step 102: Encode the copy parameter according to the dynamic limit, and generate a video code stream including reference area size information and copy parameter information.

In the above solution of the embodiment of the present invention, the coded bits of the reference area size information and/or the reference area position and the size information and/or the value range information of the motion vector are written into one or more of the video code streams. :

Wherein, the video parameter set: usually one or several syntax elements of the video parameter set that exist directly or implicitly;

Sequence parameter set: usually one or several syntax elements that are directly or implicitly derived from a sequence parameter set;

Image parameter set: usually one or several syntax elements of the image parameter set that exist directly or implicitly;

Strip head: A grammatical element that is usually one or more of the leading or implicit derivation of a strip;

CTU header: A syntax element that is usually one or several directly or implicitly derived from a CTU header;

CU header: usually one or several syntax elements that are directly or implicitly derived from the CU header;

Codec block header: Usually one or several syntax elements that are directly or implicitly derived from the codec block header.

In the above solution of the embodiment of the present invention, the copy parameter is a motion vector.

In the above solution of the embodiment of the present invention, the dynamic limit of the copy parameter is one of a dynamic upper limit, a dynamic lower limit, a dynamic left limit, and a dynamic right limit of the motion vector, or multiple or all.

In the above solution of the embodiment of the present invention, according to the dynamic limit, a truncated k-th order exponential Columbus code binarization and entropy coding having a cutoff value corresponding to the dynamic limit is performed on the copy parameter, where k≥0.

2 is a schematic flowchart 1 of an image decoding method according to an embodiment of the present invention. As shown in FIG. 2, the image decoding method includes the following steps:

Step 201: Parse the video code stream to obtain a dynamic limit of the copy parameter of the decoded sample segment.

Step 202: Decode the replication parameter according to the dynamic limit.

In the above solution of the embodiment of the present invention, the parsing the video code stream to obtain the dynamic limit of the copy parameter of the decoded sample segment includes:

In the above solution of the embodiment of the present invention, before decoding the replication parameter according to the dynamic limit, the method further includes:

Parse the code stream and obtain the copy parameter information.

In the above solution of the embodiment of the present invention, the following one or more corresponding code streams in the video code stream are parsed, and at least one of the following information is obtained: reference area size information, reference area position and size information, and value of the motion vector. Range information, including:

In the above solution of the embodiment of the present invention, according to the dynamic limit, a truncated k-th order exponential Columbus code binarization and entropy decoding having a cutoff value corresponding to the dynamic limit is performed on the copy parameter, Where k≥0.

FIG. 3 is a schematic flowchart 2 of an image encoding method according to an embodiment of the present invention. As shown in FIG. 3, the image encoding method includes the following steps:

Step 301: Encode the copy parameter of the coded sample segment according to the dynamic position and size of the reference region.

Step 302: Generate a video code stream including reference area location and size information and copy parameter information.

In the above solution of the embodiment of the present invention, the reference bit size information and/or the reference region position and the coded bits of the size information and/or the value range information of the motion vector are written in the following part of the video code stream or Multiple places:

In the above solution of the embodiment of the present invention, the dynamic limit of the copy parameter is one, a plurality, or all of a dynamic upper limit, a dynamic lower limit, a dynamic left limit, and a dynamic right limit of the motion vector.

In the above solution of the embodiment of the present invention, the dynamic position of the reference area is represented by one or more area motion vectors.

In the above solution of the embodiment of the present invention, when the motion vector of the coded sample segment is encoded according to the dynamic position and size of the reference region, the reference region is composed of K children of the same shape and size as the codec block. Reference area composition; wherein, K≥1;

4 is a second schematic flowchart of an image decoding method according to an embodiment of the present invention, as shown in FIG. 4, The image decoding method includes the following steps:

Step 401: Parse the video code stream, and obtain at least reference area location and size information and copy parameter information.

Step 402: Decode the copy parameter of the current decoded sample segment according to the dynamic position and size of the reference region.

In the above solution of the embodiment of the present invention, the following one or more corresponding code streams in the video code stream are parsed, and at least one of the following information is obtained: reference area size information, reference area position and size information, and motion vector acquisition. Value range information, including:

In the above solution of the embodiment of the present invention, when the motion vector of the current decoded sample segment is decoded according to the dynamic position and size of the reference region, the reference region is composed of K sub-reference regions having the same shape and size as the current codec block. Composition; wherein, K≥1;

FIG. 5( a ) is a third schematic flowchart of an image encoding method according to an embodiment of the present invention. As shown in the figure, in the process:

Encode with at least the following functions and operations and generate at least a reference The video code stream of the area size information and the copy parameter information: the dynamic limit of the copy parameter of the current coded sample segment is obtained from the size of the reference area, and the copy parameter is encoded according to the dynamic limit.

FIG. 5(b) is a schematic flowchart diagram 4 of an image encoding method according to an embodiment of the present invention. As shown in the figure, in the process:

Coding with a copy mode including at least the following functions and operations and generating a video code stream containing at least reference area position and size information and copy parameter information: encoding the copy parameters of the current coded sample segment according to the dynamic position and size of the reference area .

In an embodiment, the copy parameter is a motion vector. Figure 6 is an example.

In an embodiment, the reference area is a current CTU and a plurality of adjacent CTUs, such that the reference area size is a current CTU and a size of a plurality of adjacent CTUs. Fig. 6(a) is an example.

In an embodiment, the dynamic limit of the copy parameter is a dynamic upper limit, a dynamic lower limit, a dynamic left limit, and a dynamic right limit of the motion vector. Fig. 6(a) is an example.

In an embodiment, the copy parameters are binarized and entropy encoded with a cutoff value corresponding to the dynamic limit based on the dynamic limit.

In an embodiment, the truncated k-th order exponential Columbus code binarization and entropy coding having a truncation value corresponding to the dynamic limit is performed on the copy parameter according to the dynamic limit, wherein k≥0.

In one embodiment, the truncated k-th order exponent Columbus code is a k-th order exponential Columbus code whose prefix and/or its suffix has a cutoff value.

In an embodiment, the dynamic position of the reference area is represented by one or several area motion vectors. The main motion vector in Fig. 6(b) is an example.

In an embodiment, the dynamic position of the reference area is represented by one or several area motion vectors, and the size of the reference area is the size of one or several current coding blocks. Fig. 6(b) is an example.

In an embodiment, the reference area consists of one or several regions of the same shape and size as the current coded block, and the dynamic position of the reference region is represented by a corresponding one or several region motion vectors. Fig. 6(b) is an example.

In an embodiment, when the motion vector of the current coded sample segment is encoded according to the dynamic position and size of the reference region, the motion vector of a group of the current coded sample segments is decomposed into a primary motion vector and a plurality of slaves. Moving vector. Fig. 6(b) is an example.

In an embodiment, when the motion vector of the current coded sample segment is encoded according to the dynamic position and size of the reference region, the reference region is K (K≥1) sub-references having the same shape and size as the current coded block. The regional components, and the dynamic positions of the K sub-reference regions are respectively represented by corresponding K (K ≥ 1) sub-reference region motion vectors, and the motion vector of the current coded sample segment is decomposed into a main motion vector and a slave A motion vector, the primary motion vector being equal to a sub-reference region motion vector of a sub-reference region in which the current reference sample segment is located. Fig. 6(b) is an example.

In an embodiment, the reference region size information is present in a video parameter set and/or a sequence parameter set and/or an image parameter set and/or a slice header and/or a CTU header and/or a CU header and/or of a video bitstream. Or code one or more places in the block header.

In an embodiment, the reference region location and size information is present in a video parameter set and/or a sequence parameter set and/or an image parameter set and/or a slice header and/or a CTU header and/or a CU header of the video stream. And/or encode one or more places in the block header.

FIG. 7( a ) is a third schematic flowchart of an image decoding method according to an embodiment of the present invention. As shown in the figure, in the process:

Parsing the video code stream, acquiring at least the reference area size information and the copy parameter information, and decoding by using a copy mode that includes at least the following functions and operations: obtaining a dynamic limit of the copy parameter of the current decoded sample segment from the size of the reference area, according to the The dynamic boundary decodes the copy parameters.

FIG. 7(b) is a schematic flowchart diagram 4 of an image decoding method according to an embodiment of the present invention, as shown in the figure. In the process:

Parsing the video code stream, obtaining at least the reference area position and size information and the copy parameter information, and decoding by using a copy mode including at least the following functions and operations: decoding the copy parameters of the current decoded sample segment according to the dynamic position and size of the reference area .

In an embodiment, the copying parameter is binarized and entropy decoded with a cutoff value corresponding to the dynamic limit according to the dynamic limit.

In an embodiment, the truncated k-th order exponential Columbus code binarization and entropy decoding having a truncation value corresponding to the dynamic limit is performed on the copy parameter according to the dynamic limit, wherein k≥0.

In an embodiment, the dynamic position of the reference region is represented by one or several region motion vectors, and the size of the reference region is the size of one or several current decoded blocks. Fig. 6(b) is an example.

In an embodiment, the reference area is composed of one or several regions of the same shape and size as the current decoded block, and the dynamic position of the reference region is represented by a corresponding one or several region motion vectors. Fig. 6(b) is an example.

In an embodiment, the current decoded sample segment is based on the dynamic position and size of the reference region. When the motion vector is decoded, a set of motion vectors of a plurality of currently decoded sample segments are decomposed into a main motion vector and a plurality of slave motion vectors. Fig. 6(b) is an example.

In an embodiment, when the motion vector of the current decoded sample segment is decoded according to the dynamic position and size of the reference region, the reference region is composed of K (K ≥ 1) sub-references of the same shape and size as the current decoded block. The regional components, and the dynamic positions of the K sub-reference regions are respectively represented by corresponding K (K ≥ 1) sub-reference region motion vectors, and the motion vector of the current decoded sample segment is decomposed into a main motion vector and a slave A motion vector, the primary motion vector being equal to a sub-reference region motion vector of a sub-reference region in which the current reference sample segment is located. Fig. 6(b) is an example.

The invention is applicable to the encoding and decoding of images in a stacked format. The invention is equally applicable to the encoding and decoding of component plane format images.

FIG. 8 is a first schematic structural diagram of an image processing apparatus according to an embodiment of the present invention. The image processing apparatus can encode an image. As shown in FIG. 8, the image processing apparatus includes:

The first obtaining unit 81 is configured to acquire, according to the size of the reference area, a dynamic limit of the copy parameter of the current coded sample segment;

The encoding unit 82 is configured to encode the copy parameter according to the dynamic limit;

The generating unit 83 is configured to generate a video code stream including reference area size information and copy parameter information.

It will be understood by those skilled in the art that the implementation functions of the units in the image processing apparatus shown in FIG. 8 can be understood with reference to the related description of the foregoing image encoding method. Image processing shown in Figure 8 The functions of each unit in the device can be implemented by a program running on the processor, or by a specific logic circuit.

In practical applications, the functions implemented by each unit in the image processing device may be implemented by a central processing unit (CPU) or a microprocessor (Micro Processor Unit, MPU) located in the image processing device. Or a digital signal processor (DSP), or a Field Programmable Gate Array (FPGA).

FIG. 9 is a second schematic structural diagram of an image processing apparatus according to an embodiment of the present invention. The image processing apparatus can decode an image. As shown in FIG. 9, the image processing apparatus includes:

The parsing unit 91 is configured to parse the video code stream to obtain a dynamic limit of the copy parameter of the decoded sample segment;

The decoding unit 92 is configured to decode the copy parameter according to the dynamic limit.

It will be understood by those skilled in the art that the implementation functions of the units in the image processing apparatus shown in FIG. 9 can be understood with reference to the related description of the aforementioned image decoding method. The functions of the units in the image processing apparatus shown in FIG. 9 can be realized by a program running on a processor, or can be realized by a specific logic circuit.

FIG. 10 is a third structural diagram of an image processing apparatus according to an embodiment of the present invention. The image processing apparatus can encode an image. As shown in FIG. 10, the image processing apparatus includes:

The encoding unit 1001 is configured to encode the copy parameter of the encoded sample segment according to the dynamic position and size of the reference region;

The generating unit 1002 is configured to generate a video code stream including reference area position and size information and copy parameter information.

FIG. 11 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present invention. The image processing apparatus can decode an image. As shown in FIG. 11, the image processing apparatus includes:

The parsing unit 1101 is configured to parse the video code stream, and obtain at least reference area location and size information and copy parameter information;

The decoding unit 1102 is configured to decode the copy parameters of the current decoded sample segment according to the dynamic position and size of the reference region.

Those skilled in the art will appreciate that embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention can take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.

Embodiments of the Invention The image processing apparatus described above may also be stored in a computer readable storage medium if it is implemented in the form of a software function module and sold or used as a standalone product. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product stored in a storage medium, including a plurality of instructions. A computer device (which may be a personal computer, server, or network device, etc.) is caused to perform all or part of the methods described in various embodiments of the present invention. The foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.

Correspondingly, an embodiment of the present invention further provides a computer storage medium, wherein a computer program for executing an image encoding method and/or an image decoding method according to an embodiment of the present invention is stored.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. Instructions are provided for implementation The steps of a function specified in a block or blocks of a flow or a flow and/or a block diagram of a flow chart.

The above is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention.

Industrial applicability

According to the technical solution of the embodiment of the present invention, the dynamic boundary of the copy parameter of the current coded sample segment is obtained according to the size of the reference region; the copy parameter is encoded according to the dynamic limit; and the reference region size information and the copy parameter information are generated. Video stream. Parsing the video code stream, obtaining a dynamic limit of the copy parameter of the decoded sample segment; decoding the copy parameter according to the dynamic limit. In addition, the copy parameter of the coded sample segment is encoded according to the dynamic position and size of the reference region; and the video code stream including the reference region position and size information and the copy parameter information is generated. Parsing the video code stream, obtaining at least the reference area position and size information and the copy parameter information; and decoding the copy parameters of the current decoded sample segment according to the dynamic position and size of the reference area. In this way, in the various copying methods, when the motion vector is encoded or decoded, the range of the value of the motion vector is limited, the number of bits is saved, and the compression efficiency of the copy mode is improved.

Claims

An image encoding method, the method comprising:

Obtaining a dynamic limit of a copy parameter of the current coded sample segment according to the size of the reference area;

And encoding the copy parameter according to the dynamic limit to generate a video code stream including reference area size information and copy parameter information.
The image encoding method according to claim 1, wherein the reference bit size information and/or the reference region position and the coded bits of the size information and/or the value range information of the motion vector are written to the following one of the video bitstreams At or in more places:

Video parameter set, sequence parameter set, image parameter set, slice header, coding tree unit CTU header, coding unit CU header, codec block header.
The image encoding method according to claim 1, wherein the copy parameter is a motion vector.
The image encoding method according to claim 1, wherein the dynamic limit of the copy parameter is one, or a plurality or all of a dynamic upper limit, a dynamic lower limit, a dynamic left limit, and a dynamic right limit of the motion vector.
The image encoding method according to claim 1, wherein the method further comprises:

And according to the dynamic limit, a truncated k-th order exponential Columbus code binarization and entropy coding having a cutoff value corresponding to the dynamic limit is performed on the copy parameter, where k≥0.
An image decoding method, the method comprising:

Parsing the video code stream to obtain a dynamic limit of the copy parameter of the decoded sample segment;

The copy parameters are decoded according to the dynamic limit.
The image decoding method according to claim 6, wherein the parsing the video code stream to obtain a dynamic limit of the copy parameter of the decoded sample segment comprises:

Parsing the video code stream, and acquiring at least one of the following information: reference area size information, reference area position and size information, and value range information of the motion vector;

A dynamic limit of the copy parameter of the decoded sample segment is determined based on the acquired information.
The image decoding method according to claim 6, wherein before decoding the copy parameter according to the dynamic limit, the method further comprises:

Parse the code stream and obtain the copy parameter information.
The image decoding method according to claim 7, wherein the following one or more corresponding code streams in the video code stream are parsed to obtain at least one of the following information: reference area size information, reference area position and size information, and movement. The value range information of the vector, including:

Video parameter set, sequence parameter set, image parameter set, strip header, CTU header, CU header, codec block header.
The image decoding method according to claim 6, wherein the copy parameter is a motion vector.
The image decoding method according to claim 6, wherein the dynamic limit of the copy parameter is one, or a plurality or all of a dynamic upper limit, a dynamic lower limit, a dynamic left limit, and a dynamic right limit of the motion vector.
The image decoding method according to claim 6, wherein the method further comprises:

And according to the dynamic limit, a truncated k-th order exponential Columbus code binarization and entropy decoding having a truncation value corresponding to the dynamic limit is performed on the copy parameter, where k≥0.
An image encoding method, the method comprising:

Coding the copy parameters of the coded sample segment according to the dynamic position and size of the reference region;

A video code stream including reference area position and size information and copy parameter information is generated.
The image encoding method according to claim 13, wherein the reference bit size information and/or the reference region position and the coded bits of the size information and/or the value range information of the motion vector are written into the video bitstream. One or more of the following:

Video parameter set, sequence parameter set, image parameter set, strip header, CTU header, CU header, codec block header.
The image encoding method according to claim 13, wherein the copy parameter is a motion vector.
The image encoding method according to claim 13, wherein the dynamic limit of the copy parameter is one, a plurality, or all of a dynamic upper limit, a dynamic lower limit, a dynamic left limit, and a dynamic right limit of the motion vector.
The image encoding method according to claim 13, wherein the dynamic position of the reference area is represented by one or more area motion vectors.
The image encoding method according to claim 17, wherein when the motion vector of the coded sample segment is encoded according to the dynamic position and size of the reference region, the reference region is formed of the same shape as the codec block And a sub-reference area of size; wherein K≥1;

The dynamic positions of the K sub-reference regions are respectively represented by corresponding K sub-reference region motion vectors, and the motion vector of the current codec segment is decomposed into a main motion vector and a slave motion vector, wherein the master mobile The vector is equal to the sub-reference region motion vector of the sub-reference region in which the reference sample segment is located.
An image decoding method, the method comprising:

Parsing the video code stream to obtain at least reference area location and size information and copy parameter information;

The copy parameters of the current decoded sample segment are decoded according to the dynamic position and size of the reference region.
The image decoding method according to claim 19, wherein the following one or more corresponding code streams in the video code stream are parsed to obtain at least one of the following information: reference area size information, reference area position and size information, The value range information of the motion vector, including:

Video parameter set, sequence parameter set, image parameter set, strip header, CTU header, CU header, codec block header.
The image decoding method according to claim 19, wherein said copy parameter is a motion vector.
The image decoding method according to claim 19, wherein the dynamic limit of the copy parameter is one, or a plurality or all of a dynamic upper limit, a dynamic lower limit, a dynamic left limit, and a dynamic right limit of the motion vector.
The image decoding method according to claim 19, wherein the dynamic position of the reference area is represented by one or more area motion vectors.
The image decoding method according to claim 23, wherein when the motion vector of the current decoded sample segment is decoded according to the dynamic position and size of the reference region, the reference region is formed by the same shape and size as the current codec block. Sub-reference area composition; wherein, K≥1;

The dynamic positions of the K sub-reference regions are respectively represented by corresponding K sub-reference region motion vectors, and the motion vector of the current codec segment is decomposed into a main motion vector and a slave motion vector, wherein the master mobile The vector is equal to the sub-reference area motion vector of the sub-reference area in which the current reference sample segment is located.
An image processing device, the device comprising:

a first acquiring unit, configured to acquire a dynamic limit of a copy parameter of the current coded sample segment according to a size of the reference area;

a coding unit configured to encode the copy parameter according to the dynamic limit;

And a generating unit configured to generate a video code stream including reference area size information and copy parameter information.
An image processing device, the device comprising:

An parsing unit configured to parse the video code stream to obtain a dynamic limit of a copy parameter of the decoded sample segment;

And a decoding unit configured to decode the copy parameter according to the dynamic limit.
An image processing device, the device comprising:

a coding unit configured to encode a copy parameter of the coded sample segment according to a dynamic position and size of the reference region;

And a generating unit configured to generate a video code stream including reference area location and size information and copy parameter information.
An image processing device, the device comprising:

The parsing unit is configured to parse the video code stream, and at least obtain the reference area location and size information and the copy parameter information;

The decoding unit is configured to decode the copy parameter of the current decoded sample segment according to the dynamic position and size of the reference region.
A computer storage medium having stored therein computer executable instructions configured to perform the image encoding method and/or the image decoding method of any of claims 1-24.