WO2023151386A1 - Data processing method and apparatus, and terminal and readable storage medium - Google Patents

Abstract

A data processing method, a data processing apparatus (10), a terminal (100) and a non-volatile computer-readable storage medium (300). The data processing method comprises: (011) acquiring preset filter radii of a plurality of filter layers; (012) according to the filter radii of the plurality of filter layers, determining a filter region of data to be processed; and (013) acquiring image data of the filter region.

Description

Data processing method, device, terminal and readable storage medium

priority information

This application claims the priority and benefit of the patent application No. 2022101260157 filed with the State Intellectual Property Office of China on February 10, 2022, which is hereby incorporated by reference in its entirety.

technical field

The present application relates to the field of image technology, and in particular to a data processing method, a data processing device, a terminal and a non-volatile computer-readable storage medium.

Background technique

Currently, as data is processed, it needs to be transferred back and forth between memory and storage.

Contents of the invention

Embodiments of the present application provide a data processing method, a data processing device, a terminal, and a non-volatile computer-readable storage medium.

The data processing method in the embodiment of the present application includes obtaining the filter radius of a plurality of preset filter layers; determining the filter area of the data to be processed according to the filter radius of the plurality of filter layers; and acquiring the image of the filter area data.

The data processing device in the embodiment of the present application includes a first acquisition module, a first determination module, and a second acquisition module. The first obtaining module is used to obtain the filtering radii of the preset multiple filtering layers; the first determining module is used to determine the filtering area of the data to be processed according to the filtering radii of the multiple filtering layers; The second obtaining module is used to obtain image data of the filtering area.

The terminal in the embodiment of the present application includes a processor, the processor is used to obtain the filter radius of the preset multiple filter layers; determine the filter area of the data to be processed according to the filter radius of the multiple filter layers; and obtain Image data for the filtered region.

A non-volatile computer-readable storage medium containing a computer program of the present application, when the computer program is executed by one or more processors, the processors are made to execute a data processing method. The data processing method includes obtaining filter radii of preset multiple filter layers; determining a filter area of data to be processed according to the filter radii of multiple filter layers; and acquiring image data of the filter area.

Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present application. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a schematic flow diagram of a data processing method in some embodiments of the present application;

FIG. 2 is a schematic block diagram of a data processing device in some embodiments of the present application;

FIG. 3 is a schematic plan view of a terminal in some embodiments of the present application;

Figures 4 to 6 are schematic diagrams of some embodiments of the present application;

FIG. 7 is a schematic flow diagram of a data processing method in some embodiments of the present application;

Fig. 8 is a schematic diagram of some embodiments of the present application;

FIG. 9 is a schematic flowchart of a data processing method in some embodiments of the present application;

Fig. 10 is a schematic diagram of the principles of some embodiments of the present application;

Figure 11 and Figure 12 are schematic flowcharts of data processing methods in some embodiments of the present application;

Fig. 13 is a schematic diagram of connection between a processor and a computer-readable storage medium in some embodiments of the present application.

Detailed ways

Embodiments of the present application will be further described below in conjunction with the accompanying drawings. The same or similar reference numerals in the drawings represent the same or similar elements or elements having the same or similar functions throughout. In addition, the embodiments of the present application described below in conjunction with the accompanying drawings are exemplary, and are only used to explain the embodiments of the present application, and should not be construed as limiting the present application.

The data processing method of the present application includes acquiring preset filtering radii of multiple filtering layers; determining a filtering area of the data to be processed according to the filtering radii of the multiple filtering layers; and acquiring image data of the filtering area.

In some implementations, determining the filtering area of the data to be processed according to the filtering radii of the multiple filtering layers includes: determining the filtering area according to the filtering radii of the multiple filtering layers and the location information of the data to be processed.

In some embodiments, the filtering layer includes M layers, M is a positive integer, the filtering area of the Mth layer is determined according to the filtering radius of the Mth layer and the image area where the data to be processed is located, and according to the filtering radius and position information, determine the The filtering area of the processing data includes: according to the filtering radius of the N-1th layer and the filtering area of the Nth layer, determine the filtering area of the N-1th layer, N is a positive integer less than or equal to M; After the filtering area of -1 layer, reduce the value of N by 1, and perform the step of determining the filtering area of the N-1th layer according to the filtering radius of the N-1th layer and the filtering area of the Nth layer again, until the determination of the Nth layer The filtering area of layer 1 is used as the filtering area of the data to be processed.

In some embodiments, the filtering radius includes a first filtering radius, a second filtering radius, a third filtering radius and a fourth filtering radius, and the first filtering radius, the second filtering radius, the third filtering radius and the fourth filtering radius are all The same; or the first filtering radius is the same as the third filtering radius, and the second filtering radius is the same as the fourth filtering radius; or, the first filtering radius, the second filtering radius, the third filtering radius and the fourth filtering radius are different from each other.

In some embodiments, the filtering layer includes filtering operators, and the filtering area of the filtering operator in the Mth layer is determined according to the filtering radius of the filtering operator in the Mth layer and the image area where the data to be processed is located, according to the N-1th The filtering radius of the layer and the filtering area of the Nth layer are determined to determine the filtering area of the N-1th layer, including: according to the filtering radius of the filter operator of the N-1th layer and the filtering area of the filter operator of the Nth layer, determine Filtering area of each filter operator in layer N-1.

In some implementations, the first filter operator on the N-1th layer is associated with the second filter operator on the Nth layer, and the first filter operator on the N-1th layer is associated with the second filter operator on the Nth layer. The sub-association includes that the output data of the filter operator on the N-1 layer is the input data of the filter operator on the N-th layer, the first filter operator is any one of the filter operators on the N-1 layer, and the second filter operator The operator is any one of the filter operators in the Nth layer; according to the filter radius of the filter operator in the N-1th layer and the filtering area of the filter operator in the Nth layer, determine each filter in the N-1th layer The filtering area of the operator includes: determining the intermediate filtering area according to the filtering area of each second filtering operator in the Nth layer; and determining the first filtering operator according to the intermediate filtering area and the filtering radius of the first filtering operator the filtering area.

In some implementations, there are multiple second filter operators associated with the first filter operator, and determining the intermediate filter area according to the filter area of each second filter operator in the Nth layer includes: The union of the filter regions of the two filter operators determines the intermediate filter region.

In some implementations, the data processing method further includes: determining the coordinate offset of each second filter operator according to the vertex coordinates of the filter area of each second filter operator and the vertex coordinates of the intermediate filter area; When the Nth layer performs filtering processing, according to the coordinate offset of each second filter operator and the vertex coordinates of the output image of the N-1 layer, determine the vertex coordinates of the filter area of each second filter operator; from In the output image, the image data corresponding to the filter area of each second filter operator is acquired and processed.

In some implementations, the filtering radius includes the fifth filtering radius and the sixth filtering radius; the data processing method further includes: determining the fifth filtering radius of the filtering area of each second filtering operator and the fifth filtering radius of the intermediate filtering area The first difference value of the radius, and the second difference value of the sixth filtering radius of the filtering area of each second filtering operator and the sixth filtering radius of the intermediate filtering area; when performing filtering processing on the Nth layer, according to each The first difference of the second filter operator and the width of the output image of the N-1th layer determine the height of the filter area of each second filter operator, and according to the second difference of each second filter operator Value and the height of the output image of the N-1th layer, determine the width of the filter area of each second filter operator; determine the filter area of each second filter operator according to the width and height of each second filter operator ; and from the output image, acquire and process the image data corresponding to the filter area of each second filter operator.

In some embodiments, the data processing method further includes performing filtering processing on the image data in the filtering area to generate a filtering image.

The data processing device of the present application includes a first acquisition module, a first determination module and a second acquisition module. The first obtaining module is used to obtain the filtering radius of the preset multiple filtering layers; the first determining module is used to determine the filtering area of the data to be processed according to the filtering radius of the multiple filtering layers; and the second obtaining module is used to obtain the filtering Image data for the region.

The terminal of the present application includes a processor, and the processor is used to obtain the preset filtering radii of multiple filtering layers; determine the filtering area of the data to be processed according to the filtering radii of the multiple filtering layers; and acquire image data of the filtering area.

In some implementations, the processor is further configured to determine the filtering area according to the filtering radii of the multiple filtering layers and the location information of the data to be processed.

In some implementations, the filtering layer includes M layers, M is a positive integer, the filtering area of the Mth layer is determined according to the filtering radius of the Mth layer and the image area where the data to be processed is located, and the processor is also used to determine according to the Nth- The filtering radius of the first layer and the filtering area of the Nth layer determine the filtering area of the N-1th layer, and N is a positive integer less than or equal to M; after determining the filtering area of the N-1th layer, the value of N Decrease 1, and perform the step of determining the filtering area of the N-1th layer according to the filtering radius of the N-1th layer and the filtering area of the Nth layer again, until the filtering area of the first layer is determined, as the data to be processed filter area.

In some embodiments, the filtering radius includes a first filtering radius, a second filtering radius, a third filtering radius and a fourth filtering radius, and the first filtering radius, the second filtering radius, the third filtering radius and the fourth filtering radius are all The same; or the first filtering radius is the same as the third filtering radius, and the second filtering radius is the same as the fourth filtering radius; or, the first filtering radius, the second filtering radius, the third filtering radius and the fourth filtering radius are different from each other.

In some embodiments, the filtering layer includes filtering operators, and the filtering area of the filtering operator in the Mth layer is determined according to the filtering radius of the filtering operator in the Mth layer and the image area where the data to be processed is located, and the processor is also used to According to the filtering radius of the filter operator on the N-1th layer and the filtering area of the filter operator on the Nth layer, the filtering area of each filter operator on the N-1th layer is determined.

In some implementations, the first filter operator on the N-1th layer is associated with the second filter operator on the Nth layer, and the first filter operator on the N-1th layer is associated with the second filter operator on the Nth layer. The sub-association includes that the output data of the filter operator on the N-1 layer is the input data of the filter operator on the N-th layer, the first filter operator is any one of the filter operators on the N-1 layer, and the second filter operator The operator is any one of the filter operators of the Nth layer; the processor is also used to determine the intermediate filter area according to the filter area of each second filter operator of the Nth layer; and according to the intermediate filter area and the first filter The filter radius of the operator determines the filter area of the first filter operator.

In some implementations, there are multiple second filter operators associated with the first filter operator, and the processor is further configured to determine an intermediate filter area according to a union of filter areas of the multiple second filter operators.

In some implementations, the processor is further configured to determine the coordinate offset of each second filter operator according to the vertex coordinates of the filter area and the vertex coordinates of the intermediate filter area of each second filter operator; When the N layer performs filtering processing, according to the coordinate offset of each second filter operator and the vertex coordinates of the output image of the N-1th layer, determine the vertex coordinates of the filter area of each second filter operator; from the output In the image, the image data corresponding to the filter area of each second filter operator is acquired and processed.

In some implementations, the processor is further configured to determine the first difference between the fifth filtering radius of the filtering area of each second filtering operator and the fifth filtering radius of the intermediate filtering area, and each second filtering operator The second difference between the sixth filtering radius of the sub-filtering area and the sixth filtering radius of the intermediate filtering area; when filtering the Nth layer, according to the first difference of each second filtering operator and the Nth The width of the output image of the -1 layer determines the height of the filter area of each second filter operator, and according to the second difference of each second filter operator and the height of the output image of the N-1th layer, determine The width of the filtering region of each second filtering operator; determine the filtering region of each second filtering operator according to the width and height of each second filtering operator; and from the output image, obtain and process the same as each second filtering operator The image data corresponding to the filter area of the second filter operator.

In some implementations, the processor is further configured to filter the image data in the filter area to generate a filter image.

The non-transitory computer-readable storage medium of the present application includes a computer program, and when the computer program is executed by a processor, the processor is made to execute the data processing method in any one of the above implementations.

Please refer to Fig. 1 to Fig. 3, the data processing method of the embodiment of the present application comprises the following steps:

011: Obtain the filtering radius of multiple preset filtering layers;

012: Determine the filtering area of the data to be processed according to the filtering radii of multiple filtering layers; and

013: Get the image data of the filtering area.

The data processing device 10 in the embodiment of the present application includes a first acquisition module 11 , a first determination module 12 and a second acquisition module 13 . The first obtaining module 11 , the first determining module 12 and the second obtaining module 13 are respectively used to execute step 011 , step 012 and step 013 . That is, the first acquisition module 11 is used to obtain the filter radius of the preset multiple filter layers. The first determination module 12 is used to determine the filter area of the data to be processed according to the filter radius of multiple filter layers; the second acquisition module 13 uses Used to obtain image data of the filtered area.

The terminal 100 in the embodiment of the present application includes a processor 30 . The processor 30 is configured to acquire the filter radii of the preset multiple filter layers; determine the filter area of the data to be processed according to the filter radii of the multiple filter layers; and acquire the image data of the filter area. That is to say, step 011, step 012 and step 013 can be implemented by the processor 30.

Specifically, the terminal 100 further includes a casing 40 . The terminal 100 may be a mobile phone, a tablet computer, a display device, a notebook computer, an teller machine, a gate, a smart watch, a head-mounted display device, a game console, and the like. As shown in FIG. 3 , the embodiment of the present application is described by taking the terminal 100 as an example of a mobile phone. It can be understood that the specific form of the terminal 100 is not limited to the mobile phone. The housing 40 can also be used to install functional modules such as a display device, an imaging device, a power supply device, and a communication device of the terminal 100, so that the housing 40 provides protection for the functional modules such as dustproof, dropproof, and waterproof.

The data to be processed may be an image taken by the camera 20 of the terminal 100, or an image downloaded from the Internet, which is not limited here. The data to be processed may also be a part of the image captured by the camera 20 ; or, the data to be processed may be multi-frame attitude data, acceleration data, etc. acquired by the terminal 100 . The embodiments of the present application are described by taking the data to be processed as an image to be processed as an example.

When filtering an image to be processed, it is generally performed based on a preset filtering algorithm. The preset filtering algorithm determines the preset size of the image to be processed, the preset number of filter layers, and the preset filter radius of each filter layer.

When filtering, if the size of the captured image is greater than the preset size, the captured image can be divided into multiple images to be processed by the preset size, so that the processor 30 can directly obtain the position information of each image to be processed, such as The vertex coordinates of the image to be processed (take the image to be processed as a rectangle as an example). At the same time, the processor 30 can also directly acquire the filtering radius of each filtering layer.

Then, the processor 30 can determine the filtering area of each filtering layer according to the position information of the image to be processed and the filtering radius of each filtering layer. For example, the filtering radius is the distance from the edge of the image to be processed, and the location information includes the vertex coordinates of the image to be processed. According to the vertex coordinates of the image to be processed, the width and height of the image to be processed can be quickly determined. The processor 30 can determine the vertex coordinates of the filtering area according to the vertex coordinates and the filtering radius of the image to be processed

In an example, please refer to Fig. 4, the image coordinate system is established with the upper left corner of the image to be processed A1 as the origin, the width of the image A1 to be processed is 8 (the number of pixels along the W direction), and the height is 8 (the number of pixels along the H direction number of pixels), then the vertex coordinates of image A1 to be processed are (0,0), (8,0), (0,8) and (8,8) respectively, if the filter radius is 2 pixels, in the image to be processed Two rows of pixels are added to the upper and lower edges of A1, and two columns of pixels are added to the left and right edges respectively, so the vertex coordinates of the image S1 to be processed are (-2,-2), (10,2), (- 2,10) and (10,10). In this way, according to the location information of the image A1 to be processed and the filtering radius of each filtering layer, the filtering area S1 of each filtering layer can be quickly determined.

In other embodiments, the filtering radius includes a first filtering radius (such as corresponding to the upper side of the image), a second filtering radius (such as corresponding to the right side of the image), a third filtering radius (such as corresponding to the lower side of the image) and a fourth filtering radius ( As the left side of the corresponding image), the first filter radius, the second filter radius, the third filter radius and the fourth filter radius are all the same (as shown in Figure 4); or the first filter radius is the same as the third filter radius, The second filtering radius and the fourth filtering radius are the same; or, the first filtering radius, the second filtering radius, the third filtering radius and the fourth filtering radius are different from each other.

In another example, please refer to Fig. 5, the image coordinate system is established with the upper left corner of the image A1 to be processed as the origin, then the coordinates of the vertices of the image A1 to be processed are (0,0), (8,0), (0 ,8) and (8,8), if the first filter radius and the third filter radius are the same and both are 2 pixels, and the second filter radius and the fourth filter radius are the same and both are 1 pixel, then in the image to be processed Two rows of pixels are added to the upper and lower edges of A1, and one column of pixels is added to the left and right edges respectively, so the vertex coordinates of the image S1 to be processed are (-1,-2), (9,-2), (- 1,10) and (9,10). In this way, according to the location information of the image A1 to be processed and the filtering radius of each filtering layer, the filtering area S1 of each filtering layer can be quickly determined.

In another example, please refer to Fig. 6, the image coordinate system is established with the upper left corner of the image A1 to be processed as the origin, then the vertex coordinates of the image A1 to be processed are (0,0), (8,0), (0 ,8) and (8,8), if the first filter radius, the second filter radius, the third filter radius and the fourth filter radius are 4 pixels, 3 pixels, 2 pixels and 1 pixel respectively, then in Add 4 rows of pixels and 2 rows of pixels to the upper edge and lower edge of the image A1 to be processed, respectively, add 1 column of pixels and 3 columns of pixels to the left edge and the right edge, respectively, then the vertex coordinates of the image A1 to be processed are (-1,- 4), (11,-4), (-1,10) and (11,10). In this way, according to the location information of the image A1 to be processed and the filtering radius of each filtering layer, the filtering area S1 of each filtering layer can be quickly determined.

It can be understood that when performing filtering processing, two adjacent filtering layers are generally interdependent. For example, the output image of the previous filtering layer will be used as the input image of the next filtering layer, and the input image of the next filtering layer It is determined for the output image of the next filtering layer and the filtering radius of the next filtering layer.

Therefore, according to the output image of the last filter layer and the filter radius of the last filter layer, the filter area of the last filter layer can be determined, thereby determining the output image of the penultimate filter layer (that is, the last filter layer The image data of the filtered region of the layer, which is also the input image of the last filtered layer). Then according to the output image of the second-to-last filter layer and the filter radius of the second-to-last filter layer, the filter area of the second-to-last filter layer is determined, thereby determining the output image of the third-to-last filter layer (that is, the second-to-last filter layer The image data of the filter area of the layer filter layer is also the input image of the penultimate filter layer). In this way, from the last layer to the first layer, the filter area of the first filter layer can be determined among all the filter layers, thereby determining the filter area of the image to be processed (that is, the filter area of the first filter layer The image data of the filtering area is also the input image of the first filtering layer).

It can be understood that the number of filtering layers may be 1 layer, 2 layers, 3 layers, 4 layers, 5 layers, etc. The above-mentioned embodiments are described with three or more filter layers. If there are two filtering layers, it is only necessary to determine the filtering area of the penultimate filtering layer in the above embodiment, and the filtering area is the filtering area of the image to be processed. If the filtering layer is 1 layer, it is only necessary to determine the filtering area of the first filtering layer according to the output image of the first filtering layer and the filtering radius of the first filtering layer, and this filtering area is the filtering area of the image to be processed .

Of course, it is also possible to obtain only the filtering radii of any adjacent 2 layers, sequentially adjacent 3 layers, and 4 layers among the multi-layer filtering layers, thereby obtaining any adjacent 2 layers, sequentially adjacent 3 layers, and 4 layers The filtering area corresponding to the layer, etc., can be used for any adjacent 2 layers, successively adjacent 3 layers, 4 layers, etc. after reading the data in the filtering area once, thereby reducing the amount of data reading and writing during filtering.

For example, taking the filtering layer as an example with 4 layers, after the filtering is completed in the first layer, the filtering area corresponding to the input image of the second layer can be calculated according to the filtering radius of the second layer to the fourth layer, and the calculation method refers to the aforementioned embodiment , the implementation manner of calculating the filtering area of the first layer will not be repeated here. In this way, only one reading of image data is required for the sequentially adjacent second to fourth layers, thereby reducing the amount of data read and write during filtering.

In addition, the image size of the output of each filtering layer may be fixed, for example, the same as the size of the image to be processed. For example, if the size of the captured image is 100*100 and the size of the image to be processed is 50*50, the captured image is divided into 4 images to be processed. After filtering the image to be processed, the size of the final output filtered image is also 50*50.

Finally, the processor 30 directly acquires the image data in the filtering area of the image to be processed, so as to obtain all the image data required for subsequent filtering processing on the image to be processed. Among them, the image data that exists in the filter area can be directly obtained (such as the part where the filter area overlaps with the captured image), and for the part where there is no image data in the filter area (the part where the filter area does not overlap with the captured image), it needs to be obtained according to the filter area. Fill the existing image data in the filter area, so as to obtain the image data of each pixel in the filter area.

Different data processing processes need to obtain different data. Therefore, each data processing process requires data transmission between the memory and the storage, resulting in a large amount of data transmission and a large amount of time for data transmission, and the power consumption of the hardware increases. And the data processing efficiency is low.

The data processing method, the data processing device 10, and the terminal 100 in the embodiments of the present application obtain the filtering radii of multiple filtering layers of the data to be processed, thereby determining and acquiring the data to be processed according to the filtering radii of the multiple filtering layers. When filtering the filter layer, all the required filter areas, compared to obtaining the data of the filter area of each filter layer separately when filtering each filter layer, the filter areas of different filter layers have repeated parts, and the data Both the amount of transmission and the time occupied by data transmission are large, resulting in increased power consumption of the hardware and low data processing efficiency. The data transmission amount and time occupied by data transmission are significantly reduced, the power consumption of the hardware is reduced and the data processing efficiency is improved.

Please refer to Fig. 2, Fig. 3 and Fig. 7, in some embodiments, the filtering layer includes M layers, M is a positive integer, and the filtering area of the Mth layer is based on the filtering radius of the Mth layer and the image area where the image to be processed is located. Determined, step 012 also includes:

0121: According to the filtering radius of the N-1th layer and the filtering area of the Nth layer, determine the filtering area of the N-1th layer, N is a positive integer less than or equal to M;

0122: After determining the filtering area of the N-1th layer, reduce the value of N by 1, and execute step 0121 again: Determine the N-1th layer according to the filtering radius of the N-1th layer and the filtering area of the Nth layer The filtering area of the layer until the filtering area of the first layer is determined as the filtering area of the image to be processed.

In some implementations, the first determining module 12 is also configured to execute Step 0121 and Step 0122. The first determination module 12 is also used to determine the filter area of the N-1 layer according to the filter radius of the N-1 layer and the filter area of the N layer, and N is a positive integer less than or equal to M; After the filtering area of -1 layer, reduce the value of N by 1, and perform the step of determining the filtering area of the N-1th layer according to the filtering radius of the N-1th layer and the filtering area of the Nth layer again, until the determination of the Nth layer The filtering area of layer 1 is used as the filtering area of the image to be processed.

In some embodiments, the processor 30 is further configured to determine the filtering area of the N-1th layer according to the filtering radius of the N-1th layer and the filtering area of the Nth layer, where N is a positive integer less than or equal to M; After determining the filtering area of the N-1th layer, reduce the value of N by 1, and perform the process of determining the filtering area of the N-1th layer according to the filtering radius of the N-1th layer and the filtering area of the Nth layer again Step until the filtering area of the first layer is determined as the filtering area of the image to be processed. That is to say, step 0121 and step 0122 may be implemented by the processor 30 .

Specifically, the filter layer includes M layers, for example, M is 1, 2, 3, 4, 5 and so on. The Mth layer is the last layer for filtering processing. After the image data in the filtering area of the image to be processed is sequentially processed by the M layer of filtering layers, the filtering can be completed to generate a filtered image.

When determining the filter area of the image to be processed, the processor 30 may first determine the filter area of the Mth layer according to the filter radius of the Mth layer and the image area where the image to be processed is located.

The size of the filtered image may be the same as that of the image to be processed. After filtering the filter area of the Mth layer, only the image data in the image area where the image to be processed is located is retained to generate the filter area. Therefore, the filtering area of the Mth layer can be determined according to the image area where the image to be processed is located and the filtering radius of the Mth layer. For example, if the filtering radius is 1 pixel, a row of pixels is added to the upper edge and lower edge of the image area where the image to be processed is located, and a column of pixels is added to the left edge and right edge to serve as the filtering area of the Mth layer. It can be understood that the image data of the image area where the image to be processed is located may change after filtering by each filter layer.

Then, the processor 30 determines the filter area of the N-1 layer according to the filter radius of the N-1 layer and the filter area of the N layer; please refer to FIG. 1st floor L1 to 4th floor L4. Initially, the value of N is equal to the value of M, that is, the processor 30 determines the filtering area of the third layer according to the filtering radius of the third layer and the filtering area of the fourth layer; after determining the filtering area of the third layer, N's The value minus 1 becomes 3, and the processor 30 determines the filtering area of the second layer according to the filtering radius of the second layer and the filtering area of the third layer; after determining the filtering area of the second layer, the value of N is reduced by 1 again to become is 2, the processor 30 determines the filtering area of the first layer according to the filtering radius of the first layer and the filtering area of the second layer, after determining the filtering area of the first layer, it can be used as the filtering area of the image to be processed.

Please refer to FIG. 2, FIG. 3 and FIG. 9 again. In some embodiments, the filtering layer includes filtering operators, and the filtering area of the filtering operator in the Mth layer is based on the filtering radius and the filtering radius of the filtering operator in the Mth layer to be processed. The image area where the image is located is determined, and step 0121 also includes:

01211: According to the filtering radius of the filter operator on the N-1th layer and the filtering area of the filter operator on the Nth layer, determine the filtering area of each filter operator on the N-1th layer.

In some implementations, the first determining module 12 is also configured to execute step 01211. That is, the first determination module 12 is further configured to determine the filtering area of each filter operator on the N-1th layer according to the filtering radius of the filter operator on the N-1th layer and the filtering area of the filter operator on the Nth layer.

In some implementations, the processor 30 is further configured to determine each filter operator of the N-1th layer according to the filtering radius of the filter operator of the N-1th layer and the filtering area of the filter operator of the Nth layer the filtering area. That is, step 01211 may be implemented by the processor 30 .

Specifically, each filter layer may include one or more filter operators, and each filter operator may separately filter an output image input from a previous filter layer to generate an intermediate filter image. Please refer to Figure 8, the filter layer is 4 layers, the first layer L1 includes 1 filter operator (ie, OP1), the second layer L2 includes 3 filter operators (ie OP2, OP3 and OP4), the third layer L3 It includes 2 filter operators (ie, OP5 and OP6), and the fourth layer L4 includes 1 filter operator (ie, OP7). 109*109, 107*107

The filter operator OP1 of the first layer outputs the first intermediate filtered image P1 after filtering the image data of the filter region of the image to be processed (that is, the image P0 in FIG. 8 ); the first intermediate filtered image P1 is respectively input to the second Layer OP2, OP3 and OP4, OP2, OP3 and OP4 can respectively process the first intermediate filter image P1, and can output 3 second intermediate filter images P2; 3 second intermediate filter images P2 are respectively input to the third Layer OP5 (processing the second intermediate filtering image P2 of OP2 and OP3) and OP6 (processing the second intermediate filtering image P2 of OP4), OP5 and OP6 can respectively process the second intermediate filtering image P2, and output two The third intermediate filtering image P3; the two third intermediate filtering images P3 are input to the OP7 of the fourth layer, and the OP7 processes the two third intermediate filtering images P3 to output the fourth intermediate filtering image P4. The four intermediate filtered images P4 are output as the final filtered image.

As shown in Figure 8, there is an association between different filter operators, OP1 and OP2, OP1 and OP3, OP1 and OP4, OP2 and OP5, OP3 and OP5, OP4 and OP6, OP5 and OP7, OP6 and OP7 are associated, and The filter operator refers to the output of the filter operator of the previous layer as the input of the filter operator of the next layer.

When calculating the filter area of each filter operator in the N-1th layer, first determine the filter area of the filter operator in the M layer according to the filter radius of the filter operator in the M layer and the image area where the image to be processed is located ( That is, the filtering area of OP7). Then, after determining the filter operator of the Nth layer associated with each filter operator of the N-1th layer, according to the filtering radius of the filter operator of the N-1th layer and the filtering of the filter operator of the Nth layer area, the filtering area of each filter operator in the N-1th layer can be determined.

For example, if the value of N is equal to the value of M is 4, then the filtering area of OP5 is determined according to the filtering area of OP7 and the filtering radius of OP5; the filtering area of OP6 is determined according to the filtering area of OP7 and the filtering radius of OP6. In this way, the filter area of each filter operator in each filter layer is calculated layer by layer until the filter area of the filter operator OP1 of the first layer is calculated, which is the filter area of the image to be processed.

It can be understood that one filter operator on the N-1th layer may be associated with multiple filter operators on the Nth layer. The first filter operator on the N-1th layer is associated with the second filter operator on the Nth layer, including that the output data of the filter operator on the N-1th layer is the input data of the filter operator on the Nth layer, and the first filter The operator is any one of the filter operators on the N-1th layer, and the second filter operator is any one of the filter operators on the Nth layer.

For example, as shown in Figure 8, the first filter operator (i.e. OP1) in layer N-1 (take layer 1 as an example) and multiple second filter operators in layer N (i.e. layer 2) (ie, OP2, OP3, and OP4) association. The first intermediate filtered image P1 output by OP1 is the input image of OP2, OP3 and OP4. In order to ensure that the first intermediate filtered image P1 contains all the image data required by OP2, OP3 and OP4, therefore, when determining OP2, OP3 and OP4 After the filtering area, the intermediate filtering area can be determined according to the filtering area of each second filtering operator in the Nth layer (ie, the filtering area of OP2, OP3 and OP4).

As shown in Figure 10, the union of the filter regions of all filter operators in the current filter layer (such as the Nth layer) can be used as the intermediate filter region S2, such as the filter regions of OP2, OP3 and OP4 (that is, OP2, OP3 and The union of the second intermediate filter images P2) output by OP4 respectively is used as the intermediate filter area S2, and since the filter area is generally rectangular, the rectangular area corresponding to the union of the filter areas of OP2, OP3 and OP4 can be used as the intermediate filter Area S2.

Finally, according to the intermediate filtering area and the filtering radius of the first filtering operator, the filtering area of the first filtering operator is determined. Therefore, the image data output by the first filter operator after filtering includes all the image data required by OP2, OP3 and OP4. In this way, the image data of all filter operators of the current filter layer can be read at one time.

Alternatively, the union of the filter areas of multiple filter operators (at least two) of the current filter layer can be used as the intermediate filter area S2, such as the union of the filter areas of OP2 and OP3, the filter area of OP2 and OP4 The union, or the union of the filter areas of OP3 and OP4 serves as the intermediate filter area S2.

Then, according to the intermediate filtering area and the filtering radius of the first filtering operator, the filtering area of the first filtering operator is determined. Therefore, the image data output by the first filter operator after filtering processing includes all the image data required by the multiple filter operators, so that the image data of the multiple filter operators can be acquired through one read.

For the case where there are multiple first filter operators (ie, OP5 and OP6) in the N-1th layer (taking the 3rd layer as an example), and are associated with the OP7 of the Nth layer (ie, the 4th layer), then The two third intermediate filter images P3 generated by multiple OP5 and OP6 can be input to OP7, and OP7 performs filtering processing on the two third intermediate filter images P3 respectively to obtain two fourth intermediate filter images P4, and The two fourth intermediate filtered images P4 are fused, for example, weighted fusion is performed on the pixels in the same position in the two fourth intermediate filtered images P4, and finally a fused fourth intermediate filtered image P4 is output.

Referring to Fig. 2, Fig. 3 and Fig. 11, in some embodiments, the data processing method also includes the following steps:

014: Determine the coordinate offset of each second filter operator according to the vertex coordinates of the filter area and the vertex coordinates of the intermediate filter area of each second filter operator;

015: When performing filter processing on the Nth layer, determine the filter area of each second filter operator according to the coordinate offset of each second filter operator and the vertex coordinates of the output image of the N-1th layer vertex coordinates;

016: From the output image, acquire and process the image data corresponding to the filter area of each second filter operator.

In some implementations, the data processing device 10 further includes a second determination module 14 , a third determination module 15 and a first processing module 16 . The second determination module 14 , the third determination module 15 and the first processing module 16 are respectively used to execute step 014 , step 015 and step 016 . That is, the second determination module 14 is used to determine the coordinate offset of each second filter operator according to the vertex coordinates of the filter area of each second filter operator and the vertex coordinates of the intermediate filter area; the third determination module 15 uses When performing filter processing on the Nth layer, according to the coordinate offset of each second filter operator and the vertex coordinates of the output image of the N-1th layer, determine the vertex of the filter area of each second filter operator Coordinates; the first processing module 16 is used to acquire and process image data corresponding to the filter area of each second filter operator from the output image.

In some implementations, the processor 30 is further configured to determine the coordinate offset of each second filter operator according to the vertex coordinates of the filter area and the vertex coordinates of the intermediate filter area of each second filter operator; When the Nth layer performs filtering processing, according to the coordinate offset of each second filter operator and the vertex coordinates of the output image of the N-1 layer, determine the vertex coordinates of the filter area of each second filter operator; from In the output image, the image data corresponding to the filter area of each second filter operator is acquired and processed. That is to say, step 014, step 015 and step 016 can be implemented by the processor 30.

Specifically, since one first filter operator may be associated with multiple second filter operators, and the filter area of the first filter operator is based on the filter areas of multiple second filter operators (such as the filter area of multiple second filter operators The union of the filtering area, that is, the intermediate filtering area) and the filtering radius of the first filtering operator are determined.

In order to ensure that the second filter operator can accurately obtain the required image data from the first intermediate filter image P1 (corresponding to the intermediate filter area) output by the first filter operator, it is necessary to determine that the filter area of the second filter operator is in the middle The location of the filter region.

Therefore, the processor 30 can determine the coordinate offset of each second filter operator according to the vertex coordinates of the filter area of each second filter operator and the vertex coordinates of the intermediate filter area; When the first filtering operator in the first layer) outputs the first intermediate filtering image P1 (ie, the intermediate filtering area), the second filtering operator can obtain image data required for filtering from the first intermediate filtering image P1.

For example, when filtering on the Nth layer (such as the second layer), the second filter operator can calculate the filter area of the second filter operator according to its corresponding coordinate offset and the vertex coordinates of the first intermediate filter image P1 Vertex coordinates, so as to obtain the image data corresponding to the filtering area of the second filtering operator in the first intermediate filtering image P1, and perform filtering processing to ensure the accuracy of data acquisition and processing.

Referring to Fig. 2, Fig. 3 and Fig. 12, in some embodiments, the filtering radius includes the fifth filtering radius and the sixth filtering radius, and the data processing method also includes the following steps:

017: Determine the first difference between the fifth filtering radius of the filtering area of each second filtering operator and the fifth filtering radius of the intermediate filtering area, and the sum of the sixth filtering radius of the filtering area of each second filtering operator a second difference of the sixth filter radius of the intermediate filter area;

018: When performing filtering processing on the Nth layer, determine the width of the filter area of each second filter operator according to the first difference of each second filter operator and the width of the output image of the N-1th layer , and according to the second difference of each second filter operator and the height of the output image of the N-1th layer, determine the height of the filtering area of each second filter operator;

019: Determine the filtering area of each second filtering operator according to the width and height of each second filtering operator; and

020: From the output image, acquire and process the image data corresponding to the filtering area of each second filtering operator.

In some implementations, the data processing device 10 further includes a fourth determination module 17 , a fifth determination module 18 , a sixth determination module 19 and a second processing module 20 . The fourth determination module 17 , the fifth determination module 18 , the sixth determination module 19 and the second processing module 20 are respectively used to execute step 017 , step 018 , step 019 and step 020 . That is, the fourth determining module 17 is used to determine the first difference between the fifth filtering radius of the filtering area of each second filtering operator and the fifth filtering radius of the intermediate filtering area, and the filtering value of each second filtering operator. The second difference between the sixth filtering radius of the area and the sixth filtering radius of the intermediate filtering area; the fifth determination module 18 is used to perform filtering processing on the Nth layer according to the first difference of each second filtering operator Value and the width of the output image of the N-1th layer, determine the width of the filter area of each second filter operator, and according to the second difference of each second filter operator and the output image of the N-1th layer height, determine the height of the filtering area of each second filtering operator; the sixth determining module 19 is used to determine the filtering area of each second filtering operator according to the width and height of each second filtering operator; the second The processing module 20 is configured to acquire and process image data corresponding to the filter area of each second filter operator from the output image.

In some embodiments, the processor 30 is further configured to determine the first difference between the fifth filtering radius of the filtering area of each second filtering operator and the fifth filtering radius of the intermediate filtering area, and each second filtering operator The second difference between the sixth filter radius of the filter area of the operator and the sixth filter radius of the intermediate filter area; when performing filtering processing on the Nth layer, according to the first difference and the first difference of each second filter operator The width of the output image of the N-1 layer determines the width of the filter area of each second filter operator, and according to the second difference of each second filter operator and the height of the output image of the N-1th layer, Determine the height of the filtering area of each second filtering operator; determine the filtering area of each second filtering operator according to the width and height of each second filtering operator; and from the output image, obtain and process the The image data corresponding to the filter area of the second filter operator. That is to say, step 017 , step 018 , step 019 and step 020 may be implemented by the processor 30 .

Specifically, when the filtering radius of the filtering operator only includes the fifth filtering radius and the sixth filtering radius, that is, the filtering radii on the upper side and the lower side of the filtering area are the same, both are the fifth filtering radius, and the left and right filtering radii are the same, Both are the sixth filter radius.

The processor 30 may determine a first difference between the fifth filter radius of the filter area of each second filter operator and the fifth filter radius of the intermediate filter area, and the sixth filter radius of the filter area of each second filter operator. The second difference value of the sixth filter radius of the radius and the intermediate filter area; thereby determine the offset of the filter radius of the filter area of each second filter operator relative to the filter radius of the intermediate filter area, thereby in the first filter operator ( For example, when the output image of the first filter operator in the first layer (that is, the first intermediate filter image P1, corresponding to the intermediate filter area), the second filter operator can obtain the filter required from the first intermediate filter image P1 image data.

For example, when performing filtering on the Nth layer (such as the second layer), the second filter operator can be used for the height and width of the first intermediate filtered image P1 according to its corresponding first difference value and second difference value, respectively. difference, so as to obtain the height and width of each second filter operator. Then, the processor 30 determines the filter area of each second filter operator according to the height and width of the second filter operator, for example, the first intermediate filter image P1 is 106*106, the first difference and the second difference The values are 2 and 1 respectively, then the width and height of the second filter operator are 104*102, namely

Therefore, after determining the width and height of the second filter operator, the filtering area of each second filter operator can be quickly determined. Finally, the processor 30 acquires the image data corresponding to the filter area of the second filter operator from the first intermediate filtered image P1, and performs filtering processing to ensure the accuracy of data acquisition and processing.

In another embodiment, the filtering radii of the four sides of the filtering area are the same, and at this time, it is only necessary to calculate the difference between the filtering radius of the filtering area of each second filtering operator and the filtering radius of the intermediate filtering area. In this way, it is convenient for each filter operator to quickly obtain all the image data required for filtering from the output image output by the previous layer during subsequent filtering processing.

In yet another embodiment, the filtering radii of the four sides of the filtering area are different, that is, the filtering area includes the aforementioned first filtering radius to the fourth filtering radius, and when calculating the difference of filtering radii, it is necessary to calculate each The four differences between the first filter radius to the fourth filter radius of the second filter operator and the first filter radius to the fourth filter radius of the middle filter area, so as to facilitate the subsequent filter processing, each filter operator is fast All image data required for filtering is obtained from the output image output by the previous layer.

In an example, please refer to Fig. 8 again, when the above data processing algorithm is used for data processing, the input data and output data of each filter operator are not down-sampled or up-sampled; the filter radius of each filter operator is is 5 pixels, the output of each filter operator planning is also planned as [w, h] in the general method, and it is assumed that w=128, h=64.

For the existing filtering algorithm, each layer of filtering layer is independently read and written from the memory 50 (such as dynamic random access memory, DRAM) of the terminal 100, the reading and writing of the first layer to the fourth layer memory 50 The amount is as shown in Table 1:

Table 1

the	DRAM read	DRAM write
L1	(128+2*5)*(64+2*5)＝10212	128*64=8192
L2	10212	128*64*3＝8192*3
L3	10212*3	128*64*2＝8192*2
L4	10212*2	128*64=8192
total	71484	57344

When using the data processing method of the present application for data processing, the read and write capacity of the memory 50 is as shown in Table 2:

Table 2

the	DRAM read	DRAM write
total	(128+2*5*4)*(64+2*5*4)＝17472	w*h=8192

It can be seen that using this method, the amount of data read by DRAM is reduced from 71484 to 17472, and the amount of data written by DRAM is reduced from 57344 to 8192. The amount of reading and writing required by the algorithm is greatly reduced, so that the algorithm efficiency and power consumption performance can also be significantly improved. .

Please refer to FIG. 13 , a non-volatile computer-readable storage medium 300 storing a computer program 302 according to an embodiment of the present application. When the computer program 302 is executed by one or more processors 30, the processors 30 can execute The data processing method of any one of the above-mentioned embodiments.

For example, referring to FIG. 1, when the computer program 302 is executed by one or more processors 30, the processors 30 are made to perform the following steps:

011: Obtain the filtering radius of multiple preset filtering layers;

012: Determine the filtering area of the data to be processed according to the filtering radii of multiple filtering layers; and

013: Get the image data of the filtering area.

For another example, please refer to FIG. 7, when the computer program 302 is executed by one or more processors 30, the processors 30 may also perform the following steps:

0121: According to the filtering radius of the N-1th layer and the filtering area of the Nth layer, determine the filtering area of the N-1th layer, N is a positive integer less than or equal to M;

0122: After determining the filtering area of the N-1th layer, reduce the value of N by 1, and execute step 0121 again: Determine the N-1th layer according to the filtering radius of the N-1th layer and the filtering area of the Nth layer The filtering area of the layer until the filtering area of the first layer is determined as the filtering area of the image to be processed.

In the description of this specification, descriptions with reference to the terms "one embodiment", "some embodiments", "exemplary embodiments", "example", "specific examples" or "some examples" mean that a combination of the embodiments or Examples describe specific features, structures, materials, or characteristics that are included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the described specific features, structures, materials or characteristics may be combined in any suitable manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine different embodiments or examples and features of different embodiments or examples described in this specification without conflicting with each other.

Any process or method descriptions in flowcharts or otherwise described herein may be understood as representing modules, fragments or portions of code comprising one or more steps of a program for implementing a specific logical function or process, and The scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including substantially concurrently or in reverse order depending on the functions involved, which should be recognized by the present Embodiments of the application are understood by those skilled in the art to which they belong.

Although the implementation of the present application has been shown and described above, it can be understood that the above-mentioned implementation is exemplary and should not be construed as limiting the application, and those skilled in the art can make the above-mentioned The embodiments are subject to changes, modifications, substitutions and variations.

Claims (22)

1. A data processing method, characterized in that, comprising:

   Obtain the filter radius of the preset multiple filter layers;

   determining a filtering area of the data to be processed according to the filtering radii of the plurality of filtering layers; and

   Image data of the filtering area is acquired.
2. The data processing method according to claim 1, wherein the determining the filtering area of the data to be processed according to the filtering radii of multiple filtering layers comprises:

   The filtering area is determined according to the filtering radii of the plurality of filtering layers and the location information of the data to be processed.
3. The data processing method according to claim 1, wherein the filtering layer includes M layers, and the M is a positive integer, and the filtering area of the Mth layer is based on the filtering radius of the Mth layer and the location of the data to be processed. The image area is determined, and the filtering area of the data to be processed is determined according to the filtering radius of the plurality of filtering layers, including:

   Determine the filtering area of the N-1th layer according to the filtering radius of the N-1th layer and the filtering area of the Nth layer, and the N is a positive integer less than or equal to the M;

   After the filtering area of the N-1th layer is determined, the value of N is reduced by 1, and the filtering of the N-1th layer is determined again according to the filtering radius of the N-1th layer and the filtering area of the Nth layer The step of area until the filtering area of the first layer is determined as the filtering area of the data to be processed.
4. The data processing method according to claim 3, wherein the filtering radius comprises a first filtering radius, a second filtering radius, a third filtering radius and a fourth filtering radius, and the first filtering radius, the second filtering radius The radius, the third filtering radius and the fourth filtering radius are all the same; or the first filtering radius is the same as the third filtering radius, and the second filtering radius is the same as the fourth filtering radius; or, the first filtering radius The radius, the second filtering radius, the third filtering radius and the fourth filtering radius are different from each other.
5. The data processing method according to claim 3, wherein the filtering layer includes a filtering operator, and the filtering area of the filtering operator in the Mth layer is based on the filtering radius and the filtering radius of the filtering operator in the Mth layer The image area where the data to be processed is located is determined, and the filter area of the N-1 layer is determined according to the filter radius of the N-1 layer and the filter area of the N layer, including:

   Determine the filter area of each filter operator on the N-1th layer according to the filtering radius of the filter operator on the N-1th layer and the filtering area of the filter operator on the Nth layer .
6. The data processing method according to claim 5, wherein the first filter operator of the N-1th layer is associated with the second filter operator of the Nth layer, and the first filter operator of the N-1th layer is associated with The second filter operator association in the Nth layer includes that the output data of the filter operator in the N-1th layer is the input data of the filter operator in the Nth layer, and the first filter operator is the input data of the filter operator in the Nth layer. Any one of the filter operators of the N-1th layer, the second filter operator is any one of the filter operators of the Nth layer;

   According to the filtering radius of the filter operator on the N-1th layer and the filtering area of the filter operator on the Nth layer, determine the Filter area, including:

   Determine an intermediate filtering area according to the filtering area of each second filtering operator in the Nth layer; and

   A filtering area of the first filtering operator is determined according to the intermediate filtering area and the filtering radius of the first filtering operator.
7. The data processing method according to claim 6, characterized in that there are multiple second filter operators associated with the first filter operator, and according to each second filter operator of the Nth layer Filtering area, to determine the intermediate filtering area, including:

   The intermediate filtering area is determined according to a union of filtering areas of multiple second filtering operators.
8. The data processing method according to claim 6, further comprising:

   determining a coordinate offset of each of the second filter operators according to the vertex coordinates of the filter area of each of the second filter operators and the vertex coordinates of the intermediate filter area;

   When performing filtering processing on the Nth layer, each of the second filters is determined according to the coordinate offset of each of the second filter operators and the vertex coordinates of the output image of the N-1th layer. The vertex coordinates of the filter area of the operator;

   From the output image, image data corresponding to the filter area of each of the second filter operators is acquired and processed.
9. The data processing method according to claim 6, wherein the filtering radius comprises a fifth filtering radius and a sixth filtering radius; the data processing method further comprises:

   determining a first difference between the fifth filter radius of the filter area of each of the second filter operators and the fifth filter radius of the intermediate filter area, and the first difference of each of the second filter operators a second difference between the sixth filter radius of the filter area and the sixth filter radius of the intermediate filter area;

   When performing filtering processing on the Nth layer, each of the second filtering operators is determined according to the first difference value of each of the second filtering operators and the width of the output image of the N-1th layer. The height of the filtering area of each of the second filtering operators, and according to the second difference of each of the second filtering operators and the height of the output image of the N-1th layer, determine the filtering area of each of the second filtering operators the width;

   determining the filtering area of each of the second filtering operators according to the width and height of each of the second filtering operators; and

   From the output image, image data corresponding to the filter area of each of the second filter operators is acquired and processed.
10. The data processing method according to claim 1, further comprising:

    Filtering is performed on the image data in the filtering area to generate a filtered image.
11. A data processing device, characterized in that it comprises:

    The first obtaining module is used to obtain the filtering radii of a plurality of preset filtering layers;

    A first determining module, configured to determine a filtering area of data to be processed according to the filtering radii of multiple filtering layers; and

    The second obtaining module is used to obtain the image data of the filtering area.
12. A terminal, characterized in that it includes a processor, the processor is configured to acquire the filtering radii of a plurality of preset filtering layers; and determine the filtering area of the data to be processed according to the filtering radii of the plurality of filtering layers; and acquiring image data of the filtering area.
13. The terminal according to claim 12, wherein the processor is further configured to determine the filtering area according to the filtering radii of the plurality of filtering layers and the location information of the data to be processed.
14. The terminal according to claim 12, wherein the filtering layer includes M layers, and M is a positive integer, and the filtering area of the Mth layer is based on the filtering radius of the Mth layer and the image where the data to be processed is located. Area determination, the processor is also used to determine the filtering area of the N-1th layer according to the filtering radius of the N-1th layer and the filtering area of the Nth layer, and the N is a positive integer less than or equal to the M ; After determining the filtering area of the N-1th layer, reduce the value of N by 1, and perform again according to the filtering radius of the N-1th layer and the filtering area of the Nth layer, determine the N-1th layer The step of filtering the area is until the filtering area of the first layer is determined as the filtering area of the data to be processed.
15. The terminal according to claim 14, wherein the filtering radius includes a first filtering radius, a second filtering radius, a third filtering radius and a fourth filtering radius, the first filtering radius, the second filtering radius, The third filtering radius is the same as the fourth filtering radius; or the first filtering radius is the same as the third filtering radius, and the second filtering radius is the same as the fourth filtering radius; or, the first filtering radius, The second filtering radius, the third filtering radius and the fourth filtering radius are different from each other.
16. The terminal according to claim 14, wherein the filtering layer includes filtering operators, and the filtering area of the filtering operator in the Mth layer is based on the filtering radius of the filtering operator in the Mth layer and the The image area where the data to be processed is located is determined, and the processor is further configured to determine the Nth layer according to the filtering radius of the filter operator on the N-1th layer and the filtering area of the filter operator on the Nth layer - said filter region of each said filter operator of layer 1.
17. The terminal according to claim 16, wherein the first filter operator on the N-1th layer is associated with the second filter operator on the Nth layer, and the first filter operator on the N-1th layer is associated with the Nth layer The second filter operator association in the layer includes that the output data of the filter operator in the N-1th layer is the input data of the filter operator in the Nth layer, and the first filter operator is the input data of the filter operator in the Nth layer. Any one of the filter operators of the N-1 layer, the second filter operator is any one of the filter operators of the Nth layer; determining the intermediate filtering area for the filtering area of the second filtering operator; and determining the filtering area of the first filtering operator according to the intermediate filtering area and the filtering radius of the first filtering operator.
18. The terminal according to claim 17, wherein there are multiple second filter operators associated with the first filter operator, and the processor is further configured to The union of the filter regions determines the intermediate filter region.
19. The terminal according to claim 17, wherein the processor is further configured to determine the The coordinate offset of the second filter operator; when performing filtering processing on the Nth layer, according to the coordinate offset of each second filter operator and the output image of the N-1th layer Vertex coordinates, determining the vertex coordinates of the filtering area of each of the second filtering operators; acquiring and processing image data corresponding to the filtering area of each of the second filtering operators from the output image.
20. The terminal according to claim 17, wherein the filtering radius includes a fifth filtering radius and a sixth filtering radius; the processor is further configured to determine the filtering area of each of the second filtering operators The first difference between the fifth filtering radius and the fifth filtering radius of the intermediate filtering area, and the sixth filtering radius and the intermediate filtering area of the filtering area of each of the second filtering operators The second difference value of the sixth filter radius; when performing filtering processing on the Nth layer, according to the first difference value of each second filter operator and the output of the N-1th layer The width of the image determines the height of the filtering area of each of the second filter operators, and according to the second difference of each of the second filter operators and the height of the output image of the N-1th layer, determining the width of the filtering area of each of the second filtering operators; determining the filtering area of each of the second filtering operators according to the width and height of each of the second filtering operators; and from the output image In the method, the image data corresponding to the filtering area of each second filtering operator is acquired and processed.
21. The terminal according to claim 12, wherein the processor is further configured to filter the image data in the filtering area to generate a filtered image.
22. A non-volatile computer-readable storage medium including a computer program, when the computer program is executed by a processor, the processor is made to execute the data processing method according to any one of claims 1-10.

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