WO1997006641A1 - Image encoder, image decoder, image decoding method, and image transmitting system - Google Patents
Image encoder, image decoder, image decoding method, and image transmitting system Download PDFInfo
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- WO1997006641A1 WO1997006641A1 PCT/JP1996/002175 JP9602175W WO9706641A1 WO 1997006641 A1 WO1997006641 A1 WO 1997006641A1 JP 9602175 W JP9602175 W JP 9602175W WO 9706641 A1 WO9706641 A1 WO 9706641A1
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/649—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding the transform being applied to non rectangular image segments
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/124—Quantisation
- H04N19/126—Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/132—Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/182—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a pixel
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/124—Quantisation
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- H—ELECTRICITY
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/146—Data rate or code amount at the encoder output
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/146—Data rate or code amount at the encoder output
- H04N19/149—Data rate or code amount at the encoder output by estimating the code amount by means of a model, e.g. mathematical model or statistical model
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/146—Data rate or code amount at the encoder output
- H04N19/15—Data rate or code amount at the encoder output by monitoring actual compressed data size at the memory before deciding storage at the transmission buffer
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/20—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using video object coding
Definitions
- the present invention relates to an image encoding device, an image decoding device and a method thereof, and an image transmission system.
- the present invention aims to reduce the amount of data required for recording and the transmission rate required for transmission when recording or transmitting an image signal.
- the present invention relates to a decoding device and an image decoding device for correctly decoding the decoding device. Background art
- JPEG and MPEG are methods with high coding efficiency as image coding devices for natural images.
- the input image signal is divided into rectangular blocks consisting of a plurality of pixels, orthogonal transform (discrete cosine transform) is performed in units of blocks by orthogonal transform means, and quantized by predetermined quantization steps by quantizing means.
- the variable length coding means performs variable length coding to output a coded signal.
- the image signal includes a synthesized image generated by artificially synthesizing a plurality of images, in addition to an image signal composed of a normal single screen.
- the image decoding device arbitrarily selects the image before synthesis and the image after synthesis and decodes the image to obtain a reproduced image. And can be used for image databases and the like.
- a signal called transmittance information (shape information) indicating the rate of image synthesis is required in addition to the color signal of luminance and color difference. If the transparency information is 100%, it means that the image signal is transparent, and there is no need to encode.
- the method of image signal coding in Japanese Patent Application No. 6_2 715 54 is an easier method than shape-adaptive orthogonal transformation, and more efficient coding by inserting pixel values even for shapes other than rectangles.
- the present invention has been made in view of such a conventional problem, and an image encoding apparatus that optimizes quantization means after orthogonally transforming blocks of different sizes from a bitrate viewpoint.
- An object of the present invention is to provide an image decoding device, an image encoding method, and an image decoding method.
- an input image signal and an effective pixel indication signal indicating a partial image to be encoded of the input image signal are input, and a digital image is
- An image coding apparatus for coding a partial image of an image signal comprising: an orthogonal transform base generating means for generating an orthogonal transform base of the input image signal according to the effective pixel indication signal; and the orthogonal transform base generating means.
- Orthogonal transform means for orthogonally transforming the input image signal on the basis of the orthogonal transform base generated in step (a), and a DC normalization coefficient for normalizing a DC component of a transform output signal of the orthogonal transform means from the effective pixel instruction signal.
- DC normalization coefficient calculating means for deriving the following equation, and for the DC component of the orthogonal transform signal given from the orthogonal transform means, the quantization step is performed by the DC normalization obtained by the DC normalization coefficient calculating means.
- a quantizing means for multiplying by a coefficient and quantizing the orthogonal transform signal by a standard quantization step for a non-DC component of the orthogonal transform signal provided from the orthogonal transform means. Characteristic It is assumed that.
- a coded signal coded by an image coding apparatus that controls a quantization step of a DC component obtained by orthogonally transforming an input image signal by an effective pixel indication signal indicating a partial image to be coded.
- An image decoding device that receives the valid pixel instruction signal as an input and decodes the encoded signal, comprising: decoding means for decoding the encoded signal and outputting a decoded signal; and DC normalization coefficient calculation means for deriving a DC normalization coefficient for normalizing a DC component among the decoded signals output from the decoding means, and DC among the decoded signals obtained by the decoding means.
- the component is inversely quantized by multiplying the quantization step by the DC normalization coefficient obtained by the DC normalization coefficient calculation means, and the non-DC signal of the decoded signal obtained by the decoding means is obtained.
- the standard quantization step Dequantizing means for dequantizing the decoded signal, an orthogonal transform basis generating means for generating an orthogonal transform basis of an output signal of the inverse quantizing means by the effective pixel instruction signal, and an orthogonal transform basis.
- Orthogonal transform means for orthogonally transforming an output signal of the inverse quantization means and outputting an image decoded signal.
- an input image signal, an effective pixel indication signal indicating a partial image to be encoded of the input image signal, and a DC component of a reference block are input, and a partial image of the digital image signal is encoded in units of blocks.
- An image encoding apparatus for differentially encoding a DC component in units of blocks, an orthogonal transformation basis generating means for producing an orthogonal transformation basis of the input image signal based on the effective pixel indication signal, and the orthogonal transformation basis.
- DC prediction encoding means for outputting a component
- quantization means for quantizing a DC difference component of the output of the DC prediction encoding means and an AC component of an output signal of the orthogonal transformation means. Is what you do.
- the image encoding apparatus is configured to correct a DC component of a block referred to by an orthogonally transformed DC component of an input image signal using an effective pixel indication signal indicating a partial image to be encoded.
- An image decoding apparatus that receives an encoded signal, the effective pixel indication signal, and the DC component of the reference block as input, and decodes the encoded signal, wherein the image decoding device decodes the encoded signal to generate a decoded signal.
- Decoding means for outputting, an inverse quantization means for inversely quantizing the decoded signal of the decoding means, and an orthogonal transform for generating an orthogonal transformation basis of the output signal of the inverse quantization means based on the effective pixel indication signal.
- DC normalization coefficient calculating means for deriving a DC normalization coefficient for normalizing a DC component of a decoded signal output from the decoding means from the effective pixel indication signal;
- a DC decoding means for the sum a DC component and computed multiplied by the DC normalization coefficient by adding to the inverse quantization means outputs the DC differential component, the DC decoding means by said orthogonal transform basis And orthogonal transform means for orthogonally transforming the DC component output from the DC and the AC component output from the inverse quantization means to output a decoded image signal.
- the DC normalization coefficient calculation means in the first invention and the third invention is configured such that a square root of a ratio of the number of pixels of the partial image to be coded to the total number of pixels of the block is a DC normalization coefficient. It is characterized by the following.
- the DC normalization coefficient calculation means in the second invention and the fourth invention is configured such that a square root of a ratio of the number of pixels of the partial image to be coded to the total number of pixels of the block is a DC normalization coefficient. It is characterized by the following.
- a seventh invention is an image coding apparatus which receives an input image signal and an effective pixel indication signal indicating a partial image to be encoded of the input image signal, and encodes a partial image of the digital image signal in units of blocks.
- An orthogonal transform basis generating means for generating an orthogonal transform basis of the input image signal based on the effective pixel indication signal; and an orthogonal transform basis generated by the orthogonal transform basis generating means.
- Orthogonal transformation means for performing orthogonal transformation; AC normalization coefficient calculation means for deriving an AC normalization coefficient for normalizing an AC component of a conversion output signal of the orthogonal transformation means from the effective pixel instruction signal; And quantizing means for quantizing the output signal of the orthogonal transform means by multiplying the step by the AC normalization coefficient.
- the AC normalization coefficient calculating means uses an inverse number of the number of pixels of the partial image to be encoded as an AC normalization coefficient.
- a coded signal coded by an image coding apparatus that controls a quantization step of an AC component obtained by orthogonally transforming an input image signal by an effective pixel indication signal indicating a partial image to be coded.
- the effective pixel indication signal An image decoding apparatus for decoding the coded signal as an input, the decoding means for decoding the coded signal and outputting a decoded signal, and the output of the decoding means from the effective pixel indication signal.
- An AC normalization coefficient calculation unit for deriving an AC normalization coefficient for normalizing an AC component of the decoded signal to be decoded, and a quantization step of the AC component of the decoded signal obtained by the decoding unit.
- An inverse quantization means for multiplying by the AC normalization coefficient derived by the AC normalization coefficient calculation means and inversely quantizing the decoded signal; and an output signal of the inverse quantization means based on the effective pixel instruction signal.
- Orthogonal transform base generating means for generating an orthogonal transform basis, and orthogonal transform means for orthogonally transforming the output signal of the inverse quantization means with the orthogonal transform base and outputting an image decoded signal. It is characterized by the following.
- the AC normalization coefficient calculating means uses an inverse number of the number of pixels of the partial image to be encoded as an AC normalization coefficient.
- An eleventh aspect of the present invention is an image encoding apparatus which receives an input image signal and an effective pixel indication signal indicating a partial image to be encoded of the input image signal, and encodes a partial image of a digital image signal in units of blocks. And outputting a plurality of values obtained by substituting pixel values generated according to at least two kinds of predetermined rules into pixel values of a partial image for which encoding of the input image signal is unnecessary by the effective pixel instruction signal.
- a quantizing means for quantizing an output signal of the selecting means.
- a twelfth invention is characterized in that the selecting means selects an output signal having a smaller high frequency component after the orthogonal transformation.
- the selecting means includes a sum of absolute values of components after orthogonal transformation. In this case, the output signal having the smaller number is selected.
- a fourteenth aspect of the present invention is an image code for inputting an input image signal and a transparency signal indicating a synthesis ratio when the input image signal is synthesized with another image signal, and encoding the digital image signal in units of blocks.
- An orthogonal transformation means for orthogonally transforming the input image signal; and a normalization coefficient calculation means for deriving a normalization coefficient for normalizing a transformed output signal of the orthogonal transformation means from the transmittance signal.
- a quantizing means for multiplying a quantization step by the normalization coefficient to quantize an output signal of the orthogonal transform means.
- the normalization coefficient calculating means increases the normalization coefficient for a block having a large transmittance and containing many pixels with a small ratio used when synthesizing the image ′. It is characterized by the following.
- an encoded signal obtained by normalizing an orthogonally transformed output signal of an input image by a transparency signal indicating a combination ratio when the input image signal is combined with another image signal
- An image decoding apparatus which receives a transparency signal and decodes the encoded signal, comprising: decoding means for decoding the encoded signal to output a decoded signal; and decoding the decoded signal from the transparency signal.
- a normalization coefficient calculating means for deriving a normalization coefficient for normalizing each component of the decoded signal, and a quantization step of the decoded signal multiplied by the normalization coefficient derived by the normalization coefficient calculation means.
- Inverse quantization means for inversely quantizing the decoded signal, and orthogonal transformation means for orthogonally transforming the output signal of the inverse quantization means and outputting a decoded image signal.
- the normalization coefficient calculating means increases the normalization coefficient for a block having a large transmittance and including many pixels having a small ratio used when synthesizing an image. It is a feature.
- the image encoding apparatus calculates a dynamic range of a DC component after orthogonal transform by DC normalization coefficient calculating means, This eliminates fluctuations in the DC component due to the orthogonal transformation basis.
- the pixel values of k pixels are encoded in units of a block
- the energy of the DC component of the area w and the DC component of the entire block Are different in size. That is, when orthogonal transformation is performed only on the pixels in the region w, the DC component becomes (N / k) 1/2 times as compared with the case where the whole block is subjected to orthogonal transformation.
- the image coding apparatus can eliminate the fluctuation of the DC component between blocks by multiplying the quantization step by (NZ k) 1/2 . In this case, the coding efficiency of the variable length coding means is improved. Note that this variable length encoding means also includes differential encoding of DC components.
- the image coding apparatus multiplies the DC component of the adjacent block by N 1/2 to eliminate the fluctuation of the DC component due to different orthogonal transform bases. In this case, the coding efficiency of the DC prediction coding means is increased.
- the image decoding device according to the second invention and the image decoding device according to the fourth invention respectively include a signal encoded by the image encoding device according to the first invention and a signal encoded by the image encoding device according to the third invention. Then, a DC normalization coefficient is derived using the effective pixel indication signal, and the encoded signal is correctly decoded.
- An image coding apparatus is to calculate a dynamic range of an AC component after orthogonal transformation by an AC normalization coefficient calculation unit, and eliminate fluctuation of the AC component due to different orthogonal transformation bases. Perform orthogonal transformation by inserting pixel values Is performed, since the inserted pixel value is correlated with other pixel values, the quantization error is also biased. Therefore, by removing the bias of the quantized pixels, it is possible to reduce the energy of the average quantization error as compared with other blocks.
- An image decoding apparatus derives an AC normalization coefficient from a signal encoded by the image encoding apparatus according to the seventh aspect of the present invention using an effective pixel indication signal, and correctly decodes the encoded signal. I do.
- the image coding apparatus uses a plurality of pixel values by utilizing the fact that the value of the input pixel value is independent of the decoding procedure of the image decoding apparatus by utilizing the effective pixel indication signal.
- a generation unit generates an insertion pixel value. Then, after the orthogonal transform, the pixel value inserted by the pixel value generating means having the smaller number of encoded bits is selected, and the number of encoded bits can be reduced by performing variable-length encoding.
- a pixel value generation means a method of inserting an average value of pixel values, and a method of generating a pixel value by LPF are possible.
- An image decoding device is to derive a normalization coefficient from a signal encoded by the image encoding device of the fourteenth aspect of the present invention using a transparency signal, and to correctly decode the encoded signal. Become BRIEF DESCRIPTION OF THE FIGURES
- FIG. 1 is a block diagram illustrating a basic configuration of an image encoding device according to a first embodiment of the present invention.
- FIG. 2 is a block diagram illustrating a basic configuration of an image decoding device according to a second embodiment of the present invention.
- FIG. 3 is a block diagram showing a basic configuration of an image encoding device according to a third embodiment of the present invention.
- FIG. 4 is a block diagram showing a basic configuration of an image decoding device according to a fourth embodiment of the present invention.
- FIG. 5 is a block diagram illustrating a basic configuration of an image encoding device according to a fifth embodiment of the present invention.
- FIG. 6 is a block diagram showing a basic configuration of an image decoding device according to a sixth embodiment of the present invention.
- FIG. 7 is a block diagram illustrating a basic configuration of an image encoding device according to a seventh embodiment of the present invention.
- FIG. 8 is a block diagram illustrating a basic configuration of an image encoding device according to an eighth embodiment of the present invention.
- FIG. 9 is a block diagram showing a basic configuration of an image decoding device according to the ninth embodiment of the present invention.
- FIG. 1 is a process diagram showing a basic configuration of an image encoding apparatus according to a first embodiment.
- an effective pixel instruction signal 1 and a blocked image signal 2 corresponding to a pixel signal are input to an image encoding device.
- the effective pixel detection means 3 is a means for detecting an effective pixel to be encoded by an effective pixel indication signal 1.
- the effective pixel information 4 output from the effective pixel detection means 3 is given to the orthogonal transformation basis generation means 6, and the pixel number signal 5 is given to the DC normalization coefficient calculation means 10 as a signal indicating the effective pixel number of the block.
- the orthogonal transformation basis generating means 6 is a means for producing the orthogonal transformation basis 7 and providing the orthogonal transformation basis 7 to the two-dimensional orthogonal transformation means 8.
- the two-dimensional orthogonal transformation means 8 is a means for orthogonally transforming the image signal 2 using an orthogonal transformation basis ⁇ and outputting an orthogonal transformation signal 9.
- the DC normalization coefficient calculation means 10 is means for calculating the DC normalization coefficient 11 from the pixel number signal 5, and the coefficient is given to the weight calculation means 12.
- the weight calculation means 12 is means for calculating and outputting the weighting coefficient 13 at the time of quantization, and the value is given to the quantization means 15 together with the quantization parameter 14.
- the quantization means 15 is means for calculating a quantization step from the quantization parameters 14 and the weighting coefficient 13, quantizing the orthogonal transform signal 9, and outputting a quantization value 16.
- the variable length coding means 17 is a circuit that performs variable length coding on the quantized value 16 and outputs a coded signal 18.
- the effective pixel position to be encoded is indicated by the effective pixel indication signal 1.
- the orthogonal transformation basis generation means 6 produces a predetermined orthogonal transformation basis 7 from the effective pixel position in the block.
- the two-dimensional orthogonal transform means 8 orthogonally transforms the image signal 2 using an orthogonal transform base 7 and outputs an orthogonal transform signal 9.
- the DC normalization coefficient calculation means 10 calculates the DC normalization coefficient 11 from the pixel number signal 5. For example, this DC normalization factor 1 1 It is a function of the number of pixels and the number of effective pixels.
- the weight calculation means 12 calculates a DC component weight coefficient 13 corresponding to the value of the DC normalization coefficient 11.
- the quantization means 15 calculates a quantization step from the weighting coefficient 13 and the quantization parameter 14 and quantizes the orthogonal transform signal 9 to output a quantization value 16 to the c quantization parameter.
- Numeral 14 is a parameter used to change the compression ratio in MPEG, which changes the compression ratio in units of blocks. If the quantization parameter is large, the coding distortion increases, but the number of coding bits decreases.
- the product of the quantization parameter 14 and the weighting coefficient 13 can be considered.
- the quantized value 16 generated by the quantization means 15 is subjected to variable-length encoding by the variable-length encoding means 17 and output as an encoded signal 18.
- the variable-length coding means 17 can not only perform coding in units of blocks but also perform differential coding with blocks input in the past by incorporating a delay buffer or the like.
- the DC normalization coefficient calculation means 10 in FIG. 1 is provided to calculate the dynamic range of the DC component after the orthogonal transform and to eliminate the fluctuation of the DC component due to different orthogonal transform bases.
- the effective pixel area inside the block B of k pixels is w
- the DC component D Cw of the effective pixel area w is expressed by the following equation (1).
- variable-length coding means 17 also includes differential coding of DC components.
- an appropriate DC component is weighted from the effective pixel indication signal 1 to the block, and the quantization means 15 performs the optimal quantization, so that the encoding bit An efficient image encoding device with a small number and independent of the number of effective pixels can be realized.
- FIG. 2 is a block diagram showing a basic configuration of an image decoding apparatus according to the second embodiment. Blocks having the same signals and the same functions as those in the first embodiment are denoted by the same reference numerals, and detailed description is omitted. I do.
- the image decoding apparatus according to the present embodiment derives a DC normalization coefficient from the coded signal 18 coded by the image coding apparatus shown in FIG. Things.
- an effective pixel indication signal 1 is a signal indicating an effective pixel corresponding to the pixel signal.
- the encoded signal 18 is a signal encoded by the image encoding device.
- the effective pixel detecting means 3 is a means for detecting an effective pixel which is a pixel to be encoded from the effective pixel indication signal 1, and outputs effective pixel information 4 and a pixel number signal 5 indicating the number of effective pixels of the block. Output.
- the orthogonal transformation basis generating means 6 is a means for producing the orthogonal transformation basis 7.
- the DC normalization coefficient calculation means 10 is means for calculating the DC normalization coefficient 11 from the pixel number signal 5 and providing the same to the weight calculation means 12.
- the weight calculation means 12 is a means for calculating a weight coefficient 13 at the time of quantization.
- the variable length decoding means 20 decodes the coded signal 18 to output a decoded signal 21. It is a means to empower.
- the inverse quantization means 22 is means for calculating a quantization step from the quantization parameter 14 and the weighting coefficient 13 and outputting an inverse quantization value 23.
- the two-dimensional orthogonal transform means 24 is means for orthogonally transforming the inverse quantized value 23 by the orthogonal transform base 7 and outputting a decoded image signal 25.
- the operation of the thus configured image decoding device of the second embodiment will be described.
- the coded signal 18 is subjected to decoding opposite to the coding of the variable length coding means 17 in FIG. 1 in the variable length decoding means 20, and is converted into a decoded signal 21.
- the inverse quantization means 22 calculates a quantization step for the decoded signal 21 from the weighting coefficient 13 and the quantization parameter 14, and inversely quantizes the inversely quantized value 2 3 Is output. This quantization step is the same as the quantization step in the quantization means 15 of the first embodiment.
- the two-dimensional orthogonal transform means 24 orthogonally transforms the inverse quantized value 23 into an image decoded signal 25.
- the orthogonal transformation performed here is the inverse of the transformation performed by the two-dimensional orthogonal transformation means 8 of the first embodiment.
- FIG. 3 is a block diagram showing a basic configuration of the image encoding device according to the third embodiment.
- the image coding apparatus of the present embodiment multiplies the DC component of the adjacent block by the value shown in equation (5) to eliminate the fluctuation of the DC component due to different orthogonal transform bases.
- the coding efficiency of the DC prediction coding means is improved.
- the multiplication means 31 is means for multiplying the weighting coefficient 13 by the DC component 30 of the reference block and outputting a product signal 32.
- the DC predictive coding means 33 is a means for inputting the product signal 32 and the orthogonal transform signal 9 output from the two-dimensional orthogonal transform means 8 and calculating and outputting a DC difference signal 34.
- the combining means 35 is means for replacing the DC component of the orthogonal transform signal 9 with the DC difference signal 34 and outputting the orthogonal transform signal 36.
- the multiplication means 31 multiplies the weighting coefficient 13 by the DC component 30 of the reference block. Since the weighting coefficient 13 represents a variation component caused by the number of effective pixels of the DC component of the block, the product signal 32 is a signal in which the variation component caused by the number of effective pixels is normalized. The prediction efficiency of the DC prediction encoding means 33 becomes higher regardless of the number of effective pixels.
- the combining means 35 replaces only the DC component of the orthogonal transform signal 9 with the output of the predictive coding means 33 corresponding to the DC component normalized by the number of effective pixels.
- the variable-length coding means 17 can improve the coding efficiency by performing general-purpose variable-length coding independent of the number of effective pixels.
- the DC component 30 of the reference block is normalized by the weighting coefficient 13 by the multiplication means 31 to perform DC predictive encoding, thereby achieving the same as in the first embodiment.
- An efficient image encoding device that does not depend on the number of effective pixels can be realized.
- FIG. 4 is a block diagram showing a basic configuration of an image decoding apparatus according to the fourth embodiment. Blocks having the same signals and the same functions as in the third embodiment are denoted by the same reference numerals, and detailed description is omitted. I do.
- the image decoding apparatus of the present embodiment decodes the coded signal 18 coded by the image coding apparatus of FIG. It is a device to make.
- the DC predictive decoding means is a means for receiving the product signal 32 of the multiplying means 31, decoding the DC component of the inverse quantization value 23, and outputting the DC decoded signal 41.
- the synthesizing means 42 is means for outputting a synthesized signal 43 obtained by synthesizing the DC component and the AC component.
- the coded signal 18 is decoded by the variable-length decoding means 20 in the reverse order of the coding of the variable-length coding means 17 in FIG. 3, and a decoded signal 21 is output.
- the inverse quantization means 22 calculates a quantization step for the decoded signal 21 using the quantization parameter 14 and inversely quantizes to output an inversely quantized value 23. Since the DC component of the inverse quantization value 23 is predictively encoded, the DC predictive decoding means 40 multiplies the DC component of the reference block by the product signal 32 to obtain the DC value of the inverse quantization value 23.
- the DC decoded signal 41 is generated by adding to the component.
- the combining means 42 replaces the DC component of the inverse quantization value 23 with the DC decoded signal 41 and outputs the result as a combined signal 43.
- the two-dimensional orthogonal transform means 24 orthogonally transforms the composite signal 43 and outputs a decoded image signal 25.
- the DC component 30 of the reference block is normalized by the weighting coefficient 13 by the multiplication means 31, and the coded signal 18 on which the DC prediction coding has been performed is correctly decoded. Can be.
- FIG. 5 is a block diagram showing a basic configuration of the image coding apparatus according to the fifth embodiment.
- the blocks 1 to 18 and the signals are the same as those of the first embodiment, their description is omitted.
- the A C normalization coefficient calculation means 50 is means for calculating the A C normalization coefficient 51 from the pixel number signal 5 output from the effective pixel detection means 3.
- the weight calculation means 52 is a means for calculating a weight coefficient 53 at the time of quantization.
- the AC normalization coefficient calculation means 50 calculates the dynamic range of the AC component after the orthogonal transform, and eliminates the variation of the AC component due to different orthogonal transform bases.
- the orthogonal transformation is performed by inserting a pixel value or the like, the quantization error is biased because the inserted pixel value is correlated with other pixel values. For this reason, if the bias of the quantized pixel is removed, it is possible to reduce the energy of the average quantization error as compared with other blocks.
- the number of pixels to be encoded has only ⁇ ⁇ components, that is, when ⁇ — ⁇ pixel values are inserted.
- the error per block is close to the value shown in Eq. (6), assuming that the quantization error is white Gaussian noise.
- the quantization error per pixel is the value shown in equation (7).
- the quantization step is the value shown by the following equation (8).
- the value of equation (8) is a real number greater than or equal to 1, the number of coded bits is obtained by quantizing with the quantization step multiplied by the value of the AC normalization coefficient calculated by the AC normalization coefficient calculation means 50. Can be reduced.
- the AC normalization coefficient calculating means 50 calculates the AC normalization coefficient 51 which is orthogonally transformed from the pixel number signal 5. Note that the following operation can be realized in the same manner even if the AC normalization coefficient 51 includes a DC component.
- the AC normalization coefficient 51 may be the reciprocal of the number of effective pixels of the block.
- the weight calculation means 52 calculates a weight coefficient 53 of each coefficient component corresponding to the value of the AC normalization coefficient 51.
- the quantization means 15 calculates a quantization step from the weighting coefficient 53 and the quantization parameter 14 and outputs a quantization value 16. Since this quantization step has the effect of averaging the bias of the quantization error depending on the number of effective pixels, the coding efficiency can be improved by appropriately distributing the number of bits. As an example of the quantization step, the product of the quantization parameter 14 and the weighting coefficient 53 can be considered.
- the appropriate AC component weighting is performed on the block from the effective pixel indication signal 1 and the optimal quantization is performed by the quantization unit 15, so that the number of encoded bits is reduced. It is possible to realize an efficient image encoding device which has few pixels and does not depend on the number of effective pixels.
- FIG. 6 is a block diagram showing a basic configuration of an image decoding apparatus according to the sixth embodiment. Blocks having the same signals and the same functions as those in the second embodiment are denoted by the same reference numerals, and detailed description is omitted. I do.
- the image decoding apparatus according to the present embodiment is an apparatus that decodes an encoded signal 18 encoded by the image encoding apparatus in FIG.
- the inverse quantizer 22 receives the decoded signal 21, calculates a quantization step from the weighting coefficient 5 3 and the quantization parameter 14, inversely quantizes and outputs an inversely quantized value 23. .
- the weighting coefficient 53 is the same as the weighting coefficient 53 of the fifth embodiment. Therefore, this quantization step is the same as the quantization step of the quantization means 15 of the fifth embodiment.
- the image decoding apparatus according to the second embodiment weights the DC component, but differs in that the present embodiment weights all the encoded orthogonal transform components.
- FIG. 7 is a block diagram illustrating a basic configuration of an image encoding device according to a seventh embodiment.
- an effective pixel instruction signal 1 and a blocked image signal 2 corresponding to a pixel signal are input to an image encoding device.
- the pixel value generation means 60 a and 60 b generate image signals 61 a and 61 b in which predetermined values are inserted into pixel values other than the valid pixels, based on the valid pixel instruction signal 1, and output them. It is a means to do.
- the two-dimensional orthogonal transformation means 8a is means for orthogonally transforming the image signal 61a and outputting an orthogonal transformation signal 9a.
- the two-dimensional orthogonal transform means 8b is means for orthogonally transforming the image signal 61b and outputting an orthogonal transform signal 9b.
- the selecting means 62 is means for selecting one of the orthogonally transformed signals 9a and 9b and outputting the orthogonally transformed signal 63.
- the quantization means 15 is means for calculating a quantization step using the quantization parameter 14 and outputting a quantization value 16.
- the variable length coding means 17 is means for converting the quantization value 16 into a variable length coded signal 18.
- An effective pixel indication signal 1 indicates an effective pixel position to be coded among the blocked pixel positions.
- the pixel value generating means 60a and 60b convert pixel values other than the effective pixel in the block from the image signal 2 into a predetermined rule (for example, a pixel value such that a high-frequency component is reduced).
- the pixel value is generated by the generation method and the average value in the block, and the image signals 61a and 61b are output.
- Each of the image signals 61a and 61b is orthogonally transformed by the two-dimensional orthogonal transform means 8a and 8b to become orthogonal transformed signals 9a and 9b.
- the selecting means 62 compares the orthogonal transform signals 9a and 9b, selects one by selecting a predetermined rule, for example, the smaller of the number of coding bits, and outputs the orthogonal transform signal 63. As a result, it is possible to appropriately select a block in which a pixel value other than the effective pixel position is inserted for each block, and to increase the coding efficiency.
- the orthogonal transform signals 9a and 9b have the same value, and therefore, the calculation of one of the two-dimensional orthogonal transform means 8a and 8b may be omitted. Absent.
- the quantization means 15 calculates a quantization step from the quantization parameter 14 and outputs a quantization value 16.
- the quantized value 16 is variable-length coded by the variable-length coding means 17 and output as a coded signal 18.
- a plurality of pixel value generation means 6 are used. 0a, 60b to generate an insertion pixel value, and after orthogonal transformation, select the pixel value inserted by the pixel value generation means with the smaller number of coding bits and perform variable-length coding to The number of objects can be reduced.
- the pixel value generating means 60a, 60b for example, a method of inserting an average value of pixel values or a method of generating pixel values by LPF is possible.
- FIG. 8 is a block diagram showing a basic configuration of an image encoding device according to an eighth embodiment.
- a transmission signal 70 corresponding to a pixel signal and a blocked image signal 2 are input to an image encoding device.
- the transmittance calculating means 71 is a means for calculating the transmittance 72 for each block.
- the normalization coefficient calculation means 73 calculates the normalization coefficient 74 of the block from the transmittance 72.
- the weight calculation means 75 is means for calculating a weight coefficient 76 at the time of quantization.
- the two-dimensional orthogonal transform means 8 is means for orthogonally transforming the image signal 2 and outputting an orthogonal transform signal 9.
- the quantization means 15 is means for calculating a quantization step from the quantization parameter 14 and the weighting coefficient 76 and outputting a quantization value 16.
- the variable length coding means 17 is means for performing variable length coding on the quantized value 16 and outputting a coded signal 18.
- the transmittance information of each pixel corresponding to the blocked image signal is indicated by a transmittance signal 70.
- the two-dimensional orthogonal transform means 8 orthogonally transforms the image signal 2 into an orthogonal transform signal 9.
- the transmittance calculation means 71 calculates the transmittance of the block (for example, the average transmittance or the minimum transmittance of the block) from the transmittance signal 70 and outputs the calculated value as the transmittance 72.
- the normalization coefficient calculation means 73 outputs a normalization coefficient 74 whose quantization step becomes coarse.
- the quantization means 15 calculates a quantization step from the weighting coefficient 76 and the quantization parameter 14 and outputs a quantization value 16. Since this quantization step has an effect of removing a visual effect depending on the transmittance, it is possible to increase the coding efficiency while preventing large image quality deterioration.
- the quantized value 16 is variable-length coded by the variable-length coding means 17 and the Output as No. 18
- the variable-length encoding means 17 not only encodes in units of blocks, but also incorporates a delay buffer or the like, and can perform differential encoding with blocks input in the past.
- the appropriate orthogonal transform coefficient is weighted for the block from the transparency signal 70, and the optimal quantization is performed by the quantization unit 15, so that the coding bit is obtained. It is possible to realize an efficient image encoding device with a small number, which depends on the transmittance, and which has no deterioration in image quality.
- FIG. 9 is a block diagram showing a basic configuration of an image decoding apparatus according to the ninth embodiment, which decodes an encoded signal 18 encoded by the image encoding apparatus shown in FIG.
- the variable length decoding means 20 is means for decoding the coded signal 18 and outputting the decoded signal 21.
- the inverse quantization means 22 is means for calculating a quantization step from the quantization parameter 14 and the weighting coefficient 76 and outputting an inverse quantization value 23.
- the two-dimensional orthogonal transformation means 24 is means for orthogonally transforming the inverse quantization value 23 and outputting an image decoding signal 25.
- the image decoding apparatus configured as described above will be described.
- the operation of the blocks denoted by reference numerals 70 to 76 and the meaning of each signal are the same as those of the eighth embodiment, and the description of the operation is omitted.
- the coded signal 18 is subjected to decoding reverse to the coding of the variable length coding means 17 of the eighth embodiment, and is converted into a decoded signal 21. .
- the inverse quantization means 22 calculates the quantization step using the weighting coefficient 76 and the quantization parameter 14 for the decoded signal 21, and inversely quantizes and outputs an inverse quantization value 23. I do.
- This quantization step is the same as the quantization step in the quantization means 15 of the eighth embodiment.
- the inverse quantization value 2 3 is quadratic
- the orthogonal transform is performed by the original orthogonal transform means 24 to obtain a decoded image signal 25.
- the orthogonal transformation performed by the two-dimensional orthogonal transformation means 24 is the same as the inverse transformation of the orthogonal transformation means 8 of the first embodiment.
- the orthogonal transform coefficients of the block are appropriately weighted from the transparency signal 70, and the inverse quantization means 22 performs the inverse quantization at the same quantization step as that of the image encoding device. Will be performed.
- the encoded signal 18 of the eighth embodiment can be correctly decoded.
- the components since the components are almost the same, they may be used in combination.
- the transmittance signal has a transmittance other than 100%, it indicates an effective pixel. Therefore, an effective pixel instruction signal may be generated from the transmittance signal.
- the present invention can be configured as a system in which the image encoding device and the image decoding device according to the present invention are connected by wireless or wired communication means.
- the configuration may be such that the data of the coded signal coded by the image coding device is temporarily stored in a server and sent to the image decoding device when necessary.
- an image encoding device and an image decoding device optimized from the viewpoint of bit rate can be realized.
- the present invention employs an efficient method of inserting pixel values, and can provide an image encoding device and an image decoding device with higher encoding efficiency. Further, according to the present invention, the quantization means is optimized using the transparency information, and a more efficient image encoding device and image decoding device can be realized.
- the energy distribution of the DC coefficient and the AC coefficient of the inserted image and the inserted image becomes uniform, and the encoding efficiency after quantization is reduced. improves. Further, by configuring a system in which the image encoding device and the image decoding device according to the present invention are connected by communication means, a system with high transmission efficiency can be realized.
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
- Compression Of Band Width Or Redundancy In Fax (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
- Television Signal Processing For Recording (AREA)
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
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AU66301/96A AU6630196A (en) | 1995-08-03 | 1996-08-02 | Image encoder, image decoder, image decoding method, and image transmitting system |
EP96925974A EP0843481A4 (en) | 1995-08-03 | 1996-08-02 | IMAGE ENCODER, IMAGE DECODER, IMAGE DECODING METHOD, AND IMAGE TRANSMISSION SYSTEM |
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JP7/219751 | 1995-08-03 | ||
JP7219751A JPH0951504A (ja) | 1995-08-03 | 1995-08-03 | 画像符号化装置及び画像復号化装置 |
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PCT/JP1996/002175 WO1997006641A1 (en) | 1995-08-03 | 1996-08-02 | Image encoder, image decoder, image decoding method, and image transmitting system |
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EP (1) | EP0843481A4 (ja) |
JP (1) | JPH0951504A (ja) |
KR (1) | KR19990036088A (ja) |
CN (1) | CN1195449A (ja) |
AU (1) | AU6630196A (ja) |
WO (1) | WO1997006641A1 (ja) |
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JP3932244B2 (ja) * | 2000-05-15 | 2007-06-20 | 株式会社ハドソン | 画像符号/復号方法及びその装置並びにそのプログラムを記録した記録媒体 |
JP4617644B2 (ja) | 2003-07-18 | 2011-01-26 | ソニー株式会社 | 符号化装置及び方法 |
JP5166435B2 (ja) * | 2006-12-11 | 2013-03-21 | トムソン ライセンシング | 画像符号化方法及び係る方法を実現する装置 |
JP5375938B2 (ja) * | 2011-12-14 | 2013-12-25 | ソニー株式会社 | 復号装置及び方法 |
JP5375937B2 (ja) * | 2011-12-14 | 2013-12-25 | ソニー株式会社 | 符号化装置及び方法 |
EP2670140A1 (en) * | 2012-06-01 | 2013-12-04 | Alcatel Lucent | Method and apparatus for encoding a video stream |
WO2014053514A1 (en) | 2012-10-01 | 2014-04-10 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Scalable video coding using base-layer hints for enhancement layer motion parameters |
JP6341598B2 (ja) * | 2014-02-26 | 2018-06-13 | 日本放送協会 | 画像符号化装置、画像復号装置、画像符号化プログラム及び画像復号プログラム |
JP6606660B2 (ja) * | 2016-12-20 | 2019-11-20 | 株式会社アクセル | 画像データ符号化装置 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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JPH05110868A (ja) * | 1991-10-15 | 1993-04-30 | Oki Electric Ind Co Ltd | 視覚特性の領域変換方式 |
JPH06113278A (ja) * | 1991-10-09 | 1994-04-22 | Oki Electric Ind Co Ltd | 視覚特性のブロック直交変換領域への変換方式 |
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JP2560873B2 (ja) * | 1990-02-28 | 1996-12-04 | 日本ビクター株式会社 | 直交変換符号化復号化方法 |
DE69132268T2 (de) * | 1990-09-29 | 2000-10-26 | Victor Company Of Japan, Ltd. | Bildsignalkodierer/Dekodierer mit adaptiver Quantisierung |
US5227878A (en) * | 1991-11-15 | 1993-07-13 | At&T Bell Laboratories | Adaptive coding and decoding of frames and fields of video |
-
1995
- 1995-08-03 JP JP7219751A patent/JPH0951504A/ja active Pending
-
1996
- 1996-08-02 KR KR1019980700754A patent/KR19990036088A/ko not_active Application Discontinuation
- 1996-08-02 EP EP96925974A patent/EP0843481A4/en not_active Withdrawn
- 1996-08-02 AU AU66301/96A patent/AU6630196A/en not_active Abandoned
- 1996-08-02 WO PCT/JP1996/002175 patent/WO1997006641A1/ja not_active Application Discontinuation
- 1996-08-02 CN CN96196765A patent/CN1195449A/zh active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06113278A (ja) * | 1991-10-09 | 1994-04-22 | Oki Electric Ind Co Ltd | 視覚特性のブロック直交変換領域への変換方式 |
JPH05110868A (ja) * | 1991-10-15 | 1993-04-30 | Oki Electric Ind Co Ltd | 視覚特性の領域変換方式 |
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See also references of EP0843481A4 * |
Also Published As
Publication number | Publication date |
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JPH0951504A (ja) | 1997-02-18 |
KR19990036088A (ko) | 1999-05-25 |
EP0843481A1 (en) | 1998-05-20 |
AU6630196A (en) | 1997-03-05 |
CN1195449A (zh) | 1998-10-07 |
EP0843481A4 (en) | 1999-08-11 |
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