WO2020181541A1

WO2020181541A1 - In-loop filtering method and apparatus, computer system, and mobile device

Info

Publication number: WO2020181541A1
Application number: PCT/CN2019/078053
Authority: WO
Inventors: 孟学苇; 郑萧桢; 贾川民; 王苫社; 马思伟
Original assignee: 北京大学; 深圳市大疆创新科技有限公司
Priority date: 2019-03-13
Filing date: 2019-03-13
Publication date: 2020-09-17
Also published as: CN111279706A; CN111279706B

Abstract

Disclosed are an in-loop filtering method and apparatus, a computer system, and a mobile device. The method comprises: determining the number of types of filters used for in-loop filtering; and determining, according to the number of types of filters, whether to write a filter label corresponding to a pixel category into a code stream. The technical solution provided by embodiments of the present application can improve the compression efficiency.

Description

Method, device, computer system and movable equipment for loop filtering

Copyright statement

The content disclosed in this patent document contains copyrighted material. The copyright belongs to the copyright owner. The copyright owner does not object to anyone copying the patent document or the patent disclosure in the official records and archives of the Patent and Trademark Office.

Technical field

This application relates to the field of video coding and decoding, and more specifically, to a method, device, computer system, and portable equipment for loop filtering.

Background technique

Loop filtering is a key part of the video coding and decoding framework. It is mainly used to reduce compression distortions such as blocking effects and ringing effects generated in the encoding process. At present, there are mainly three loop filtering techniques, namely, deblocking filtering, adaptive sample compensation filtering and adaptive loop filtering (ALF).

The deblocking filtering and adaptive sample compensation filtering follow the methods in High Efficiency Video Coding (HEVC). The deblocking filter is used for the boundary between the prediction unit and the transform unit, and the low-pass filter obtained by training is used to perform nonlinear weighting of the boundary pixels, thereby reducing the blocking effect. The adaptive sample compensation filter classifies the pixels in the image block, and then adds the same compensation value to each type of pixel to make the reconstructed image closer to the original image, thereby suppressing the ringing effect.

Adaptive loop filtering is a Wiener filter, which is mainly used to minimize the mean square error between the original image and the reconstructed image. However, in the current technology, when ALF correlation coefficients and parameters are written into the code stream, there is redundancy, which affects the compression efficiency.

Summary of the invention

The embodiments of the present application provide a method, a device, a computer system, and a portable device for loop filtering, which can improve compression efficiency.

In a first aspect, a method for loop filtering is provided, including: determining the number of types of filters used in loop filtering; and determining whether to write the filter label corresponding to the pixel category according to the number of types of filters Into the code stream.

In a second aspect, a method for loop filtering is provided, which includes: determining the number of types of filters used in loop filtering; and determining whether to parse the corresponding pixel categories in the code stream according to the number of types of filters Filter label.

In a third aspect, a method for loop filtering is provided, which includes: loop filtering pixels of the pixel category by using a filter corresponding to the pixel category; generating an encoded code stream, where if the loop filtering is used The number of filter types is equal to the number of pixel types, and the code stream does not include the filter label corresponding to the pixel type.

In a fourth aspect, a method for loop filtering is provided, which includes: obtaining an encoded code stream; parsing the code stream to obtain the number of types of filters used in loop filtering; The number is equal to the number of pixel categories, and for the pixels of the pixel category, a filter with the same label as the pixel category or a label with a default corresponding relationship is used to perform loop filtering.

In a fifth aspect, a device for loop filtering is provided, including: a determining module, which determines the number of types of filters used in loop filtering; a processing module, which determines whether to classify pixels according to the number of types of filters The corresponding filter label is written into the code stream.

In a sixth aspect, a device for loop filtering is provided, including: a determining module, configured to determine the number of types of filters used in loop filtering; and a processing module, configured to determine the number of types of filters Whether to parse the filter label corresponding to the pixel category in the bitstream.

In a seventh aspect, a device for loop filtering is provided, which includes: a filtering module, configured to use a filter corresponding to the pixel category to loop-filter the pixels of the pixel category; and a processing module, configured to generate an encoded code Wherein, if the number of filter types used in loop filtering is equal to the number of pixel types, the code stream does not include the filter label corresponding to the pixel type.

In an eighth aspect, a device for loop filtering is provided, which includes: an acquisition module for acquiring an encoded code stream; a processing module for analyzing the code stream to obtain information about the type of filter used in loop filtering Number; if the number of types of the filter is equal to the number of pixel types, for the pixels of the pixel type, a filter with the same label as the pixel type or a label with a default corresponding relationship is used for loop filtering.

In a ninth aspect, a computer system is provided, including: a memory, configured to store computer-executable instructions; a processor, configured to access the memory and execute the computer-executable instructions to perform the methods in the above aspects Operation.

In a tenth aspect, a mobile device is provided, which includes: the loop filtering device of the foregoing aspects; or, the computer system of the foregoing ninth aspect.

In an eleventh aspect, a computer storage medium is provided, and program code is stored in the computer storage medium, and the program code can be used to instruct to perform the methods of the foregoing aspects.

According to the technical solution of the embodiment of the present application, according to the number of filter types, it is determined whether to write the filter label corresponding to the pixel category into the code stream. In this way, it is possible to avoid uniformly writing the filter label corresponding to the pixel category into the code stream. Redundancy, saving coding bits, which can improve compression efficiency.

Description of the drawings

Fig. 1 is a structural diagram of a technical solution applying an embodiment of the present application.

Figure 2 is a schematic diagram of data to be encoded in an embodiment of the present application.

Fig. 3 is a schematic diagram of a coding framework of an embodiment of the present application.

Fig. 4 is a schematic diagram of adaptive loop filtering according to an embodiment of the present application.

Fig. 5 is a schematic diagram of filter coefficients in an embodiment of the present application.

FIG. 6 is a schematic flowchart of a loop filtering method according to an embodiment of the present application.

FIG. 7 is a schematic flowchart of a loop filtering method according to another embodiment of the present application.

FIG. 8 is a schematic flowchart of a loop filtering method according to another embodiment of the present application.

FIG. 9 is a schematic flowchart of a method for loop filtering according to another embodiment of the present application.

Fig. 10 is a schematic block diagram of a loop filtering device according to an embodiment of the present application.

FIG. 11 is a schematic block diagram of a loop filtering device according to another embodiment of the present application.

Fig. 12 is a schematic block diagram of a loop filtering device according to another embodiment of the present application.

Fig. 13 is a schematic block diagram of a loop filtering device according to another embodiment of the present application.

Fig. 14 is a schematic block diagram of a computer system according to an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings.

It should be understood that the specific examples in this document are only to help those skilled in the art to better understand the embodiments of the present application, rather than limiting the scope of the embodiments of the present application.

It should also be understood that the formulas in the embodiments of the present application are only examples, and do not limit the scope of the embodiments of the present application. Each formula can be modified, and these modifications should also fall within the protection scope of the present application.

It should also be understood that, in the various embodiments of the present application, the size of the sequence number of each process does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not correspond to the embodiments of the present application. The implementation process constitutes any limitation.

It should also be understood that the various implementation manners described in this specification can be implemented individually or in combination, which is not limited in the embodiments of the present application.

Unless otherwise specified, all technical and scientific terms used in the embodiments of the present application have the same meaning as commonly understood by those skilled in the technical field of the present application. The terminology used in this application is only for the purpose of describing specific embodiments, and is not intended to limit the scope of this application. The term "and/or" as used in this application includes any and all combinations of one or more related listed items.

As shown in FIG. 1, the system 100 can receive the data 102 to be processed, process the data 102 to be processed, and generate processed data 108. For example, the system 100 may receive the data to be encoded and encode the data to be encoded to generate encoded data, or the system 100 may receive the data to be decoded and decode the data to be decoded to generate decoded data. In some embodiments, the components in the system 100 may be implemented by one or more processors. The processor may be a processor in a computing device or a processor in a mobile device (such as a drone). The processor may be any type of processor, which is not limited in the embodiment of the present application. In some possible designs, the processor may include an encoder, a decoder, or a codec. The system 100 may also include one or more memories. The memory can be used to store instructions and data, for example, computer-executable instructions that implement the technical solutions of the embodiments of the present application, the to-be-processed data 102, the processed data 108, and so on. The memory can be any type of memory, which is not limited in the embodiment of the present application.

The data to be encoded can include text, images, graphic objects, animation sequences, audio, video, or any other data that needs to be encoded. In some cases, the data to be encoded may include sensor data from a sensor, which may be a vision sensor (for example, a camera, an infrared sensor), a microphone, a near field sensor (for example, an ultrasonic sensor, a radar), a position sensor, and a temperature sensor. Sensors, touch sensors, etc. In some cases, the data to be encoded may include information from the user, for example, biological information, which may include facial features, fingerprint scans, retinal scans, voice recordings, DNA sampling, and so on.

Figure 2 shows a schematic diagram of data to be encoded in an embodiment of the present application.

As shown in FIG. 2, the data to be encoded 202 may include a plurality of frames 204. For example, multiple frames 204 may represent consecutive image frames in a video stream. Each frame 204 may include one or more slices or tiles 206. Each strip or tile 206 may include one or more image blocks 208. For example, the image block 208 may be an encoding unit 208. Each image block 208 may include one or more pixels 212. Each pixel 212 may include one or more data sets corresponding to one or more data parts, for example, a luminance data part and a chrominance data part. The data unit for image processing can be a frame, a slice, a tile, a coding unit, a macroblock, a block, a pixel, or any group of the above. In different embodiments, the size of the data unit can vary.

Encoding is necessary for efficient and/or secure transmission or storage of data. The encoding of the data to be encoded may include data compression, encryption, error correction encoding, format conversion, and so on. For example, compressing multimedia data (such as video or audio) can reduce the number of bits transmitted in the network. Sensitive data, such as financial information and personal identification information, can be encrypted before transmission and storage to protect confidentiality and/or privacy. In order to reduce the bandwidth occupied by video storage and transmission, video data needs to be encoded and compressed.

Any suitable encoding technique can be used to encode the data to be encoded. The encoding type depends on the data being encoded and the specific encoding requirements.

In some embodiments, the encoder may implement one or more different codecs. Each codec may include codes, instructions or computer programs that implement different encoding algorithms. Based on various factors, including the type and/or source of the data to be encoded, the receiving entity of the encoded data, available computing resources, network environment, business environment, rules and standards, etc., a suitable encoding algorithm can be selected to encode a given Data to be encoded.

For example, the encoder can be configured to encode a series of video frames. A series of steps can be used to encode the data in each frame. In some embodiments, the encoding step may include processing steps such as prediction, transformation, quantization, and entropy encoding.

Prediction includes two types of intra-frame prediction and inter-frame prediction, and its purpose is to use prediction block information to remove redundant information of the current image block to be encoded. Intra-frame prediction uses the information of the current frame to obtain prediction block data. Inter-frame prediction uses the information of the reference frame to obtain prediction block data. The process includes dividing the image to be encoded into several image blocks; then, for each image block, search for the image block that best matches the current image block in the reference image as Prediction block; after that, the corresponding pixel values of the image block and the prediction block are subtracted to obtain the residual.

Using a transformation matrix to transform the residual block of the image can remove the correlation of the residual of the image block, that is, to remove the redundant information of the image block in order to improve the coding efficiency. The transformation of the data block in the image block usually adopts two-dimensional transformation. That is, at the encoding end, the residual information of the data block is respectively multiplied by an NxM transformation matrix and its transposed matrix, and the transformation coefficients are obtained after the multiplication. The transform coefficients can be quantized to obtain quantized coefficients, and finally the quantized coefficients are entropy coded, and finally the bit stream obtained by entropy coding and the coding mode information after coding, such as intra prediction mode, motion vector information, etc. Store or send to the decoder. At the decoding end of the image, first obtain the entropy coded bitstream and then perform entropy decoding to obtain the corresponding residual. According to the decoded motion vector or intra prediction and other information, the predicted image block corresponding to the image block, according to the predicted image block and the image block The residual error of is obtained the value of each pixel in the current sub-image block.

Fig. 3 shows a schematic diagram of an encoding framework of an embodiment of the present application.

As shown in Figure 3, when using inter-frame prediction, the encoding process can be as follows:

In 301, the current frame image is acquired. In 302, a reference frame image is obtained. In 303a, a reference frame image is used to perform motion estimation to obtain a motion vector (Motion Vector, MV) of each image block of the current frame image. In 304a, the motion vector obtained by the motion estimation is used to perform motion compensation to obtain the estimated value/predicted value of the current image block. In 305, the estimated value/predicted value of the current image block is subtracted from the current image block to obtain a residual. In 306, the residual is transformed to obtain transform coefficients. In 307, the transform coefficient is quantized to obtain the quantized coefficient. In 308, the quantized coefficients are entropy coded, and finally the bit stream obtained by entropy coding and the coding mode information after coding are stored or sent to the decoding end. In 309, the quantization result is dequantized. In 310, the inverse quantization result is inversely transformed. In 311, the reconstructed pixels are obtained by using the inverse transform result and the motion compensation result. In 312, the reconstructed pixels are filtered (ie, loop filtering). In 313, the reconstructed pixels after filtering are output. Subsequently, the reconstructed image can be used as a reference frame image for other frame images for inter-frame prediction.

When intra-frame prediction is used, the encoding process can be as follows:

In 302, the current frame image is obtained. In 303b, intra-frame prediction selection is performed on the current frame image. In 304b, the current image block in the current frame performs intra-frame prediction. In 305, the estimated value of the current image block is subtracted from the current image block to obtain the residual. In 306, the residual of the image block is transformed to obtain transform coefficients. In 307, the transform coefficient is quantized to obtain the quantized coefficient. In 308, the quantized coefficients are entropy coded, and finally the bit stream obtained by the entropy coding and the coded coding mode information are stored or sent to the decoding end. In 309, the quantization result is dequantized. In 310, the inverse quantization result is inversely transformed, and in 311, the inverse transform result and the intra-frame prediction result are used to obtain reconstructed pixels. The reconstructed image block can be used for intra prediction of the next image block.

For the decoding end, operations corresponding to the encoding end are performed. First, use entropy decoding, inverse quantization and inverse transformation to obtain residual information, and determine whether the current image block uses intra prediction or inter prediction according to the decoded bitstream. If it is intra-frame prediction, the reconstructed image block in the current frame is used to construct prediction information according to the intra-frame prediction method; if it is inter-frame prediction, it is necessary to parse out the motion information, and use the parsed motion information in the reconstructed image Determine the reference block to obtain the prediction information; then, superimpose the prediction information and the residual information, and pass the filtering operation to obtain the reconstruction information.

The technical solutions of the embodiments of the present application can be applied to the filtering process of encoding or decoding. The technical solutions of the embodiments of the present application mainly involve the filtering step, that is, the improvement in the filtering step can improve the compression efficiency, and other steps can refer to the relevant steps in the encoding process.

The technical solutions of the embodiments of the present application can be applied to adaptive loop filtering in encoding or decoding.

The adaptive loop filter is an optimal filter in the mean square sense calculated based on the original signal and the encoded distortion signal, and is essentially a Wiener filter.

As shown in Figure 4, X is the original signal, e is the noise or distortion, and Y is the distorted signal.

Is the filtered signal. The filter meets:

In adaptive loop filtering, for each pixel, the weighted average of surrounding pixels is used to obtain the result after the current point is filtered. The positions of the neighboring pixels used are shown in Figure 5, where the point corresponding to C12 is the current point to be filtered. The filtering process is obtained by using the weighted average of all the position points in Figure 5. The filter coefficient is the weight of each point, a total of 13 A filter coefficient C0 ~ C13. The final filtering process is the sum of the products of the points shown in Figure 5 and their corresponding filter coefficients. The points used in this process are all reconstructed points obtained before adaptive loop filtering.

Considering the problem of complexity, it is impossible to set a set of filter coefficients for each pixel, so it is necessary to classify the pixels. Pixels of the same category use the same set of filter coefficients (a filter). There are many ways to classify pixels. For example, only the Y component of the pixel may be classified, and the UV component may not be classified. For example, the Y component can be divided into 25 categories, and the UV component is only one category. This means that for a frame of image, there can be up to 25 sets of filters for the Y component and only one set for the UV component.

It should be understood that in the embodiment of the present application, the pixel category may be a category corresponding to the Y component, but the embodiment of the present application is not limited to this, and the pixel category may also be a category corresponding to other components or all components.

For example, each 4x4 block can be classified according to the Laplace direction:

C represents the category of the pixel block.

It is equivalent to the fine classification result after the direction classification,

There are many ways to obtain. This is just the result of sub-categorization.

The calculation method of the direction D (Direction) is as follows,

(i,j) represents the coordinate position of the current 4x4 block in the entire image.

R(k,l) represents the pixel value at the (k,l) position in the 4x4 block.

V _k,l represents the vertical Laplacian gradient of the pixel at the (i,j) coordinate in the 4x4 block.

H _k,l represents the Laplacian gradient of the pixel at the (i,j) coordinate in the 4x4 block in the horizontal direction.

D1 _k,l represents the Laplacian gradient of the pixel at the (i,j) coordinate in the 4x4 block in the direction of 135 degrees.

D2 _k,l represents the 45-degree Laplacian gradient of the pixel at the (i,j) coordinate in the 4x4 block.

g _v represents the Laplacian gradient of the 4x4 block in the vertical direction.

g _h represents the Laplacian gradient of the 4x4 block in the horizontal direction.

g _d1 represents the Laplacian gradient of the 4x4 block at 135 degrees.

g _d2 represents the Laplacian gradient of the 4x4 block at 45 degrees.

i and j are the coordinates of the upper left pixel of the 4x4 block. R(i,j) represents the reconstructed pixel value at the coordinate (i,j).

Represents the maximum value of the Laplacian gradient in the horizontal and vertical directions.

Represents the minimum value of the Laplacian gradient in the horizontal and vertical directions.

Represents the maximum value of the Laplacian gradient in the 45 and 135 directions.

Represents the minimum value of the Laplacian gradient in the 45 and 135 directions.

R _h,v represents the ratio of the Laplacian gradient in the horizontal and vertical directions.

R _{d0, d1} represent the ratio of the Laplacian gradient in the 45 and 135 directions.

in case

and

D is set to 0.

in case

and

D is set to 1.

in case

and

D is set to 2.

in case

and

D is set to 3.

in case

and

D is set to 4.

t1 and t2 represent preset thresholds.

Is calculated as follows,

Then quantize A to get an integer between 0 and 4 to get

In order to further improve compression performance and reduce the number of bits required for coding coefficients, ALF can use coefficient merging techniques, for example, coefficient merging between different types of pixels, filter coefficient zeroing operations, and coefficient differential coding methods.

The combination of coefficients between different types of pixels means that different types use the same filter. If certain types use the same filter, then some filter coefficients can be transferred in the code stream.

Set the filter coefficient to zero: some types of pixels may be better without ALF filtering. In other words, the number of bits saved by not using the ALF filter and the distortion caused by it are more significant than the increase in using the ALF filter. In this case, for some types of pixels, the filter coefficient can be directly set to zero.

Coefficient differential coding method: filter coefficients can choose two coding methods, choose one of the two, the first is to directly write the filter coefficients into the code stream, the other is to write the first set of filter coefficients into the code stream, and then the first The second set of coefficients after subtracting the first set of coefficients is written into the code stream, and the third set of coefficients after subtracting the second set is written into the code stream, and so on. This method is the coefficient differential coding method. The encoding end can select the encoding method.

The above coefficient merging methods require decision-making at the encoding end. For example, it is better to determine which categories are better to merge coefficients. It is better to decide whether to set the coefficients to zero or not to zero for each filter. It is better to use differential coding for the decision coefficients. It is better to code directly.

In the case of combining filter coefficients, the number of filter types used in loop filtering may be equal to the number of pixel types, or may no longer be equal to the number of pixel types, that is, multiple pixel types may use the same filter. In this way, which filter is used for each pixel category needs to be identified in the code stream. However, the current identification method has redundancy, which affects the compression efficiency. In view of this, the embodiments of the present application provide an improved technical solution.

The technical solutions of the embodiments of the present application can be applied to both the encoding end and the decoding end. The following describes the technical solutions of the embodiments of the present application from the encoding end and the decoding end respectively.

FIG. 6 shows a schematic flowchart of a method 600 for loop filtering according to an embodiment of the present application. The method 600 may be executed by the encoding end. For example, it can be executed by the system 100 shown in FIG. 1 during the encoding operation.

610: Determine the number of types of filters used in loop filtering.

As mentioned earlier, in adaptive loop filtering, for each frame of image or each slice or each tile, multiple filters may be used. In the case of filter coefficient combination, the number of filter types used in loop filtering may be equal to the number of pixel types, or may no longer be equal to the number of pixel types. The encoding end can write code stream according to the number of types of filters actually used. Specifically, the code stream contains the syntax element of the number of filter types. After confirming the number of types of filters, the encoder writes the number of types into the code stream.

620. Determine, according to the number of types of filters, whether to write the filter label corresponding to the pixel category into the code stream.

Since the number of filter types used in loop filtering may be equal to the number of pixel types, or may no longer be equal to the number of pixel types, the number of types of filters can be used to determine whether to label the filter corresponding to the pixel type. For writing the code stream, for example, in the case where the decoder can determine the filter label corresponding to the pixel category, the filter label corresponding to the pixel category may not be written into the code stream. In this way, redundancy caused by uniformly writing the filter labels corresponding to the pixel categories into the code stream can be avoided, coding bits are saved, and compression efficiency is improved.

Specifically, after determining the initial filter corresponding to each pixel category, the encoding end may combine the initial filters corresponding to different pixel categories to obtain a filter corresponding to each pixel category. Then, the pixels of each pixel category are loop-filtered according to the corresponding filter, and the number of filter types used is written into the code rate, so that the decoding end knows the number of filter types used by the encoding end.

Optionally, the encoding end may subtract one from the number of types of filters and write them into the code stream. Because the number of filter types must be a value greater than or equal to 1, when the encoding end writes the code stream, it is uniformly reduced by one, and the decoding end is analyzed and then uniformly increased by one. This saves coding bits. For example, if the number of filter types can be any value between 1-25, after subtracting one, the value between 0-24 is used, and the value between 0-24 is used compared to the value between 1-25 The number of bits is less.

For example, taking a frame of image as an example, the sequence and steps when ALF encoding parameters are written into the code stream can be as follows:

Write the frame-level switch identifier of the Y component into the code stream to characterize whether the current frame uses ALF. If the flag is 0, it means that the current frame does not use ALF. If it is 1, it means that the current frame uses ALF, continue with the following steps.

Write the switch of the UV component into the code stream.

Write the number of filter types of the Y component of the current frame -1 to the code stream.

Then, it is determined whether to write the filter label corresponding to the pixel category into the code stream.

Specifically, in addition to the number of types of filters, the decoding end also needs to know the filter corresponding to each pixel category in order to perform loop filtering on the pixels of each pixel category. Correspondingly, the encoding end may need to write the filter label corresponding to the pixel category into the code stream. In the embodiment of the present application, the encoding end may determine whether to write the filter label corresponding to the pixel category into the code stream according to the number of filter types.

Optionally, in an embodiment of the present application, if the number of filter types is equal to the number of pixel types, the filter label corresponding to the pixel type is not written into the code stream.

In the case where the number of the types of filters is equal to the number of the pixel types, the decoding end may be able to determine the filter label corresponding to the pixel type. For example, if the filter label corresponding to the pixel category is the same as the label of the pixel category or is a default correspondence, the decoder does not need to analyze the filter label corresponding to the pixel category in the code stream to determine the pixel category corresponding The filter label. In this case, the encoding end does not write the filter label corresponding to the pixel category into the code stream.

For example, if the number of pixel categories is 25, if the number of filter types is also 25, that is, each pixel category corresponds to a filter. When the two labels are the same or the default correspondence relationship, the decoder directly The filter label corresponding to the pixel category can be determined. Therefore, the encoding end does not need to write the filter label corresponding to the pixel category into the code stream.

Optionally, in the above case, the encoding end may also write first indication information into the code stream, where the first indication information is used to indicate that the code stream does not include filtering corresponding to the pixel category.器label. Correspondingly, when the decoding end parses the first indication information, it does not parse the filter label corresponding to the pixel category in the bitstream.

Optionally, in an embodiment of the present application, if the number of filter types is equal to the number of pixel types, and the filter label corresponding to the pixel type is different from the pixel type label or is not By default, the filter label corresponding to the pixel category is written into the code stream.

In the case that the number of types of filters is equal to the number of pixel categories, but the filter label corresponding to the pixel category is different from the label of the pixel category or is not a default correspondence, the decoder cannot directly determine The filter label corresponding to the pixel category. In this case, the encoding end writes the filter label corresponding to the pixel category into the code stream.

For example, when encoding filter coefficients, such as the coefficient differential encoding method, in order to reduce the number of coding bits, the order of the filters may be adjusted. In this way, the label (corresponding order) of the filter may be inconsistent or different from the pixel type. It is the default correspondence. The decoder cannot directly determine the filter label corresponding to the pixel category. Therefore, the encoding end needs to write the filter label corresponding to the pixel category into the code stream.

Optionally, in the above case, the encoding end may also write second indication information into the code stream, where the second indication information is used to indicate that the code stream includes the filter corresponding to the pixel category Label. Correspondingly, when the decoding end parses the second indication information, it parses the filter label corresponding to the pixel category in the code stream.

The above-mentioned first indication information and second indication information may be used as the filter label indication information in the code stream, that is, in different situations, the filter label indication information in the code stream may be the first indication information or the second indication information .

Optionally, in an embodiment of the present application, if the number of filter types is greater than 1 and less than the number of pixel types, the filter label corresponding to the pixel type is written into the code stream.

When the number of filter types is greater than 1 and less than the number of pixel types, the corresponding relationship between the pixel types and the filter types is uncertain, so the encoding end needs to label the filter corresponding to the pixel type Write the code stream.

Optionally, in an embodiment of the present application, if the number of types of filters is 1, the filter label corresponding to the pixel type is not written into the code stream.

The number of the types of filters is 1, that is, only one filter is used. In this case, the encoding end does not need to write the filter label corresponding to the pixel category into the code stream. At the decoding end, for the pixels of the pixel category, the only filter in the code stream can be used for loop filtering.

The above describes the technical solutions of the embodiments of the present application from the perspective of the encoding end, and the following describes the technical solutions of the embodiments of the present application from the perspective of the decoding end. It should be understood that, in addition to the following description, the general description of the encoding end and the decoding end may refer to the foregoing description, and for brevity, details are not repeated.

FIG. 7 shows a schematic flowchart of a method 700 for loop filtering according to another embodiment of the present application. The method 700 may be executed by the decoding end. For example, it can be executed by the system 100 shown in FIG. 1 when performing a decoding operation.

710: Determine the number of types of filters used in loop filtering.

The encoding end writes the number of types of filters used in loop filtering into the code stream, and accordingly, the decoding end can obtain the number of types of filters by analyzing the code stream.

Optionally, in the case where the encoding end subtracts one from the number of filter types and writes it into the code stream, the decoding end adds one after parsing to obtain the number of filter types.

720: Determine, according to the number of types of filters, whether to parse the filter label corresponding to the pixel category in the bitstream.

After obtaining the number of types of the filters, the decoding end performs different processing for different situations.

Optionally, in an embodiment of the present application, if the number of filter types is equal to the number of pixel types, the filter label corresponding to the pixel type in the code stream is not parsed.

In this case, for the pixels of the pixel category, the decoding end uses a filter with the same label as the pixel category or a label with a default corresponding relationship to perform loop filtering.

Specifically, when the number of filter types is equal to the number of pixel categories, if the filter label corresponding to the pixel category is the same as the pixel category label or there is a default correspondence, the decoding end The filter label corresponding to the pixel category can be determined without parsing the filter label corresponding to the pixel category in the code stream. Therefore, the filter label that is the same as the label of the pixel category or has a default corresponding relationship can be directly used for processing. Loop filtering.

Optionally, in an embodiment of the present application, if the number of filter types is equal to the number of pixel types, the filter label indication information in the bitstream is parsed first, if the filter label indicates The information is the first indication information, where the first indication information is used to indicate that the filter label corresponding to the pixel category is not included in the code stream, and the filter label corresponding to the pixel category in the code stream is not parsed. The filter label uses a filter with the same label as the pixel label or a label with a default corresponding relationship for the pixels of the pixel category to perform loop filtering.

Optionally, in an embodiment of the present application, if the number of filter types is equal to the number of pixel types, the filter label indication information in the bitstream is parsed first, if the filter label indicates The information is second indication information, where the second indication information is used to indicate that the code stream includes the filter label corresponding to the pixel category, then the filter corresponding to the pixel category in the code stream is parsed Label. Then, for the pixels of the pixel type, the filter with the filter label corresponding to the parsed pixel type is used to perform loop filtering.

Optionally, in an embodiment of the present application, if the number of filter types is greater than 1 and less than the number of pixel types, the filter label corresponding to the pixel type in the code stream is parsed. Then, for the pixels of the pixel type, the filter with the filter label corresponding to the parsed pixel type is used to perform loop filtering.

Optionally, in an embodiment of the present application, if the number of the types of filters is 1, the filter label corresponding to the pixel type in the code stream is not parsed. For the pixels of the pixel category, the only filter in the code stream is used for loop filtering.

FIG. 8 shows a schematic flowchart of a loop filtering method 800 according to another embodiment of the present application. The method 800 may be executed by the encoding end. For example, it can be executed by the system 100 shown in FIG. 1 during the encoding operation. Except for the following description, for this embodiment, reference may be made to the relevant description of the embodiment described by the encoding end, which is not repeated for brevity.

810: Perform loop filtering on the pixels of the pixel category by using a filter corresponding to the pixel category.

Optionally, the encoding end may first determine the initial filter corresponding to each pixel category; and then combine the initial filters corresponding to different pixel categories to obtain a filter corresponding to each pixel category. Then, the filter corresponding to each pixel category is used to loop filter the pixels of each pixel category.

820. Generate an encoded code stream, where if the number of filter types used in loop filtering is equal to the number of pixel types, the code stream does not include the filter label corresponding to the pixel type.

In the embodiment of the present application, when the number of filter types used in loop filtering is equal to the number of pixel types, the code stream generated by the encoding end does not include the filter label corresponding to the pixel type. That is to say, at the encoding end, if the number of filter types is equal to the number of pixel types, the filter label corresponding to the pixel type is not written into the code stream.

In the above case, the filter label corresponding to the pixel category is the same as the label of the pixel category or is a default correspondence.

Optionally, the encoding end may also write first indication information into the code stream, where the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.

Optionally, if the number of filter types used in loop filtering is equal to the number of pixel categories, and the filter label corresponding to the pixel category is different from the pixel category label or is not in a default correspondence, the encoding end generates The code stream of includes the filter label corresponding to the pixel category.

Optionally, if the number of filter types is greater than 1 and less than the number of pixel types, the code stream generated by the encoding end includes the filter label corresponding to the pixel type. That is, at the encoding end, if the number of filter types is greater than 1 and less than the number of pixel types, the filter label corresponding to the pixel type is written into the code stream.

Optionally, if the number of types of the filter is 1, the filter label corresponding to the pixel type is not written into the code stream.

Optionally, the encoding end may also write the code stream after subtracting one from the number of filter types.

In the technical solution of the embodiment of the present application, when the number of filter types used in loop filtering is equal to the number of pixel types, the code stream does not include the filter label corresponding to the pixel type. In this way, it is possible to avoid uniform The redundancy generated by writing the filter label corresponding to the pixel category into the code stream saves coding bits, thereby improving compression efficiency.

FIG. 9 shows a schematic flowchart of a method 900 for loop filtering according to another embodiment of the present application. The method 900 may be executed by the decoding end. For example, it can be executed by the system 100 shown in FIG. 1 when performing a decoding operation. Except for the following description, this embodiment can refer to the relevant description of the embodiment described by the foregoing decoding end, and for brevity, the details are not repeated.

910: Obtain an encoded code stream.

920. Parse the code stream to obtain the number of types of filters used in loop filtering.

930. If the number of types of filters is equal to the number of pixel types, for pixels of the pixel type, use a filter with the same label as the pixel type or a label with a default corresponding relationship to perform loop filtering.

In the case where the number of the types of filters is equal to the number of the pixel types, the code stream generated by the encoding end does not include the filter label corresponding to the pixel type. The decoding end does not need to parse the filter label corresponding to the pixel category in the bitstream, and can directly use a filter with the same label as the pixel category or a label with a default corresponding relationship to perform loop filtering.

Optionally, if the number of filter types is equal to the number of pixel types, the filter label indication information in the bitstream is parsed, and if the filter label indication information is the first indication information, use and Filters with the same label of the pixel category or labels with a default corresponding relationship perform loop filtering, wherein the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.

Optionally, if the number of filter types is equal to the number of pixel types, parse the filter label indication information in the code stream, and if the filter label indication information is the second indication information, parse The filter label corresponding to the pixel category in the code stream, wherein the second indication information is used to indicate that the code stream includes the filter label corresponding to the pixel category. Then, for the pixels of the pixel type, the filter with the filter label corresponding to the parsed pixel type is used to perform loop filtering.

Optionally, if the number of filter types is greater than 1 and less than the number of pixel types, then the filter label corresponding to the pixel type in the code stream is parsed. Then, for the pixels of the pixel type, the filter with the filter label corresponding to the parsed pixel type is used to perform loop filtering.

Optionally, if the number of filter types is 1, for pixels of the pixel type, the only filter in the code stream is used to perform loop filtering.

The loop filtering method of the embodiment of the present application is described in detail above, and the loop filtering device, computer system, and movable equipment of the embodiment of the present application will be described below.

FIG. 10 shows a schematic block diagram of a loop filtering apparatus 1000 according to an embodiment of the present application. The device 1000 can execute the loop filtering method 600 of the above embodiment of the present application. For example, the device 1000 may be an encoder.

As shown in FIG. 10, the apparatus 1000 may include:

The determining module 1010 determines the number of types of filters used in loop filtering;

The processing module 1020 determines whether to write the filter label corresponding to the pixel category into the code stream according to the number of the types of filters.

Optionally, the processing module 1020 is used to:

If the number of filter types is equal to the number of pixel types, then the filter label corresponding to the pixel type is not written into the code stream.

Optionally, the filter label corresponding to the pixel category is the same as the label of the pixel category or is a default correspondence.

Optionally, the processing module 1020 is further configured to:

The first indication information is written into the code stream, where the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.

Optionally, the processing module 1020 is used to:

If the number of types of filters is equal to the number of pixel categories, and the filter label corresponding to the pixel category is different from the label of the pixel category or is not a default correspondence, then the pixel category corresponding to the The filter label is written into the code stream.

Optionally, the processing module 1020 is further configured to:

The second indication information is written into the code stream, where the second indication information is used to indicate that the code stream includes the filter label corresponding to the pixel category.

Optionally, the processing module 1020 is used to:

If the number of types of filters is greater than 1 and less than the number of pixel types, then the filter label corresponding to the pixel type is written into the code stream.

Optionally, the processing module 1020 is used to:

If the number of types of the filter is 1, the filter label corresponding to the pixel type is not written into the code stream.

Optionally, the processing module 1020 is further configured to:

Determine the initial filter corresponding to each pixel category;

The initial filters corresponding to different pixel categories are combined to obtain the filter corresponding to each pixel category.

Optionally, the processing module 1020 is further configured to:

The number of types of filters is reduced by one and then written into the code stream.

FIG. 11 shows a schematic block diagram of a loop filtering device 1100 according to another embodiment of the present application. The device 1100 can execute the loop filtering method 700 in the above embodiment of the present application. For example, the device 1100 may be a decoder.

As shown in FIG. 11, the apparatus 1100 may include:

The determining module 1110 is used to determine the number of types of filters used in loop filtering;

The processing module 1120 is configured to determine whether to parse the filter label corresponding to the pixel category in the bitstream according to the number of the filter types.

Optionally, the processing module 1120 is used to:

If the number of types of filters is equal to the number of pixel types, the filter label corresponding to the pixel type in the code stream is not parsed.

Optionally, the processing module 1120 is used to:

If the number of filter types is equal to the number of pixel types, the filter label indication information in the code stream is parsed, and if the filter label indication information is the first indication information, the code is not parsed The filter label corresponding to the pixel category in the stream, wherein the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.

Optionally, the processing module 1120 is further configured to:

For the pixels of the pixel category, a filter with the same label as the pixel category or a label with a default corresponding relationship is used to perform loop filtering.

Optionally, the processing module 1120 is used to:

If the number of filter types is equal to the number of pixel categories, parse the filter label indication information in the code stream, and if the filter label indication information is the second indication information, parse the code stream The filter label corresponding to the pixel category in, wherein the second indication information is used to indicate that the code stream includes the filter label corresponding to the pixel category.

Optionally, the processing module 1120 is used to:

If the number of filter types is greater than 1 and less than the number of pixel types, then the filter label corresponding to the pixel type in the code stream is parsed.

Optionally, the processing module 1120 is further configured to:

For the pixels of the pixel type, loop filtering is performed by using the parsed filter of the filter label corresponding to the pixel type.

Optionally, the processing module 1120 is used to:

If the number of filter types is 1, the filter label corresponding to the pixel type in the code stream is not parsed.

Optionally, the processing module 1120 is further configured to:

For the pixels of the pixel category, the only filter in the code stream is used for loop filtering.

Optionally, the determining module 1110 is used to:

Parse the code stream to obtain the number of types of the filter.

FIG. 12 shows a schematic block diagram of an apparatus 1200 for loop filtering according to another embodiment of the present application. The device 1200 can execute the method 800 of loop filtering in the above embodiment of the present application. For example, the device 1200 may be an encoder.

As shown in FIG. 12, the apparatus 1200 may include:

The filtering module 1210 is configured to use a filter corresponding to the pixel category to perform loop filtering on the pixels of the pixel category;

The processing module 1220 is configured to generate an encoded code stream, wherein, if the number of filter types used in loop filtering is equal to the number of the pixel categories, the code stream does not include the filter corresponding to the pixel category Label.

Optionally, the processing module 1220 is used to:

Optionally, the processing module 1220 is further configured to:

Optionally, the processing module 1220 is used to:

Optionally, the processing module 1220 is further configured to:

Determine the initial filter corresponding to each pixel category;

Optionally, the processing module 1220 is further configured to:

FIG. 13 shows a schematic block diagram of a loop filtering device 1300 according to another embodiment of the present application. The device 1300 may execute the method 900 of loop filtering in the above embodiment of the present application. For example, the device 1300 may be a decoder.

As shown in FIG. 13, the apparatus 1300 may include:

The obtaining module 1310 is used to obtain the coded stream;

The processing module 1320 is used to parse the code stream to obtain the number of filter types used in loop filtering; if the number of filter types is equal to the number of pixel types, for the pixels of the pixel type, use and Filters with the same labels of the pixel categories or labels with a default corresponding relationship perform loop filtering.

Optionally, the processing module 1320 is used to:

If the number of types of filters is equal to the number of pixel categories, the filter label indication information in the code stream is parsed, and if the filter label indication information is the first indication information, the same as the pixel category Filters with the same label or a label with a default corresponding relationship perform loop filtering, wherein the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.

Optionally, the processing module 1320 is used to:

If the number of the types of filters is 1, for the pixels of the pixel type, the only filter in the code stream is used for loop filtering.

It should be understood that the loop filtering device in the above embodiment of the present application may be a chip, which may be specifically implemented by a circuit, but the embodiment of the present application does not limit the specific implementation form.

The embodiment of the present application also provides an encoder, which is used to implement the function of the encoding end in the embodiment of the present application, and may include the above-mentioned apparatus for loop filtering of the encoding end in the embodiment of the present application.

The embodiment of the present application also provides a decoder, which is used to implement the function of the decoder in the embodiment of the present application, and may include the above-mentioned device for loop filtering of the decoder in the embodiment of the present application.

An embodiment of the present application also provides a codec, which includes the device for in-loop filtering on the encoding end and the device for in-loop filtering on the decoding end in the above embodiments of the present application.

FIG. 14 shows a schematic block diagram of a computer system 1400 according to an embodiment of the present application.

As shown in FIG. 14, the computer system 1400 may include a processor 1410 and a memory 1420.

It should be understood that the computer system 1400 may also include components commonly included in other computer systems, such as input and output devices, communication interfaces, etc., which are not limited in the embodiment of the present application.

The memory 1420 is used to store computer executable instructions.

The memory 1420 may be various types of memory, for example, it may include a high-speed random access memory (Random Access Memory, RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The example does not limit this.

The processor 1410 is configured to access the memory 1420 and execute the computer-executable instructions to perform operations in the loop filtering method of the above embodiment of the present application.

The processor 1410 may include a microprocessor, a Field-Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), etc., which are implemented in this application The example does not limit this.

An embodiment of the present application also provides a movable device, which may include the loop filtering apparatus or computer system of the various embodiments of the present application described above.

The loop filtering device, computer system, and movable equipment of the embodiment of the present application may correspond to the execution body of the loop filtering method of the embodiment of the present application, and each of the loop filtering device, computer system, and movable equipment The above-mentioned and other operations and/or functions of the modules are used to implement the corresponding procedures of the foregoing methods, and for brevity, they are not repeated here.

The embodiment of the present application also provides a computer storage medium, and the computer storage medium stores program code, and the program code may be used to instruct the execution of the loop filtering method of the foregoing embodiment of the present application.

It should be understood that, in the embodiments of the present application, the term "and/or" is merely an association relationship describing an associated object, indicating that there may be three relationships. For example, A and/or B can mean: A alone exists, A and B exist at the same time, and B exists alone. In addition, the character "/" in this text generally indicates that the associated objects before and after are in an "or" relationship.

A person of ordinary skill in the art may realize that the units and algorithm steps of the examples described in the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two, in order to clearly illustrate the hardware and software Interchangeability. In the above description, the composition and steps of each example have been generally described in terms of function. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, device, and method may be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components can be combined or It can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may also be electrical, mechanical or other forms of connection.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments of the present application.

In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solution of this application is essentially or the part that contributes to the existing technology, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium It includes several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program code .

The above are only specific implementations of this application, but the protection scope of this application is not limited to this. Anyone familiar with the technical field can easily think of various equivalents within the technical scope disclosed in this application. Modifications or replacements, these modifications or replacements shall be covered within the protection scope of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.

Claims

A method for loop filtering is characterized in that it includes:

Determine the number of types of filters used in loop filtering;

According to the number of types of the filters, it is determined whether to write the filter label corresponding to the pixel category into the code stream.
The method according to claim 1, wherein the determining whether to write a filter label corresponding to a pixel category into a code stream according to the number of types of the filter comprises:

If the number of filter types is equal to the number of pixel types, then the filter label corresponding to the pixel type is not written into the code stream.
The method according to claim 2, wherein the filter label corresponding to the pixel category is the same as the label of the pixel category or is a default correspondence.
The method according to claim 2 or 3, wherein the method further comprises:

The first indication information is written into the code stream, where the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.
The method according to claim 1, wherein the determining whether to write a filter label corresponding to a pixel category into a code stream according to the number of types of the filter comprises:

If the number of filter types is equal to the number of pixel categories, and the filter label corresponding to the pixel category is different from the label of the pixel category or is not in the default correspondence, then the pixel category corresponding to the The filter label is written into the code stream.
The method of claim 5, wherein the method further comprises:

The second indication information is written into the code stream, where the second indication information is used to indicate that the code stream includes the filter label corresponding to the pixel category.
The method according to claim 1, wherein the determining whether to write a filter label corresponding to a pixel category into a code stream according to the number of types of the filter comprises:

If the number of types of filters is greater than 1 and less than the number of pixel types, then the filter label corresponding to the pixel type is written into the code stream.
The method according to claim 1, wherein the determining whether to write a filter label corresponding to a pixel category into a code stream according to the number of types of the filter comprises:

If the number of types of the filter is 1, the filter label corresponding to the pixel type is not written into the code stream.
The method according to any one of claims 1 to 8, wherein the method further comprises:

Determine the initial filter corresponding to each pixel category;

The initial filters corresponding to different pixel categories are combined to obtain the filter corresponding to each pixel category.
The method according to any one of claims 1 to 9, wherein the method further comprises:

The number of types of filters is reduced by one and then written into the code stream.
A method for loop filtering is characterized in that it includes:

Determine the number of types of filters used in loop filtering;

According to the number of types of the filters, it is determined whether to parse the filter label corresponding to the pixel category in the bitstream.
The method according to claim 11, wherein the determining whether to parse the filter label corresponding to the pixel category in the code stream according to the number of types of the filter comprises:

If the number of types of filters is equal to the number of pixel types, the filter label corresponding to the pixel type in the code stream is not parsed.
The method according to claim 11, wherein the determining whether to parse the filter label corresponding to the pixel category in the code stream according to the number of types of the filter comprises:

If the number of filter types is equal to the number of pixel types, the filter label indication information in the code stream is parsed, and if the filter label indication information is the first indication information, the code is not parsed The filter label corresponding to the pixel category in the stream, wherein the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.
The method according to claim 12 or 13, wherein the method further comprises:

For the pixels of the pixel category, a filter with the same label as the pixel category or a label with a default corresponding relationship is used to perform loop filtering.
The method according to claim 11, wherein the determining whether to parse the filter label corresponding to the pixel category in the code stream according to the number of types of the filter comprises:

If the number of filter types is equal to the number of pixel categories, parse the filter label indication information in the code stream, and if the filter label indication information is the second indication information, parse the code stream The filter label corresponding to the pixel category in, wherein the second indication information is used to indicate that the code stream includes the filter label corresponding to the pixel category.
The method according to claim 11, wherein the determining whether to parse the filter label corresponding to the pixel category in the code stream according to the number of types of the filter comprises:

If the number of filter types is greater than 1 and less than the number of pixel types, then the filter label corresponding to the pixel type in the code stream is parsed.
The method according to claim 15 or 16, wherein the method further comprises:

For the pixels of the pixel type, loop filtering is performed by using the parsed filter of the filter label corresponding to the pixel type.
The method according to claim 11, wherein the determining whether to parse the filter label corresponding to the pixel category in the code stream according to the number of types of the filter comprises:

If the number of filter types is 1, the filter label corresponding to the pixel type in the code stream is not parsed.
The method of claim 18, wherein the method further comprises:

For the pixels of the pixel category, the only filter in the code stream is used for loop filtering.
The method according to any one of claims 11 to 19, wherein the determining the number of types of filters used in loop filtering comprises:

Parse the code stream to obtain the number of types of the filter.
A method for loop filtering is characterized in that it includes:

Using a filter corresponding to the pixel category to perform loop filtering on the pixels of the pixel category;

Generate an encoded code stream, where if the number of filter types used in loop filtering is equal to the number of pixel types, the code stream does not include the filter label corresponding to the pixel type.
The method according to claim 21, wherein said generating an encoded code stream comprises:

If the number of filter types is equal to the number of pixel types, then the filter label corresponding to the pixel type is not written into the code stream.
The method according to claim 22, wherein the filter label corresponding to the pixel category is the same as the label of the pixel category or is a default correspondence.
The method according to claim 22 or 23, wherein said generating an encoded code stream further comprises:

The first indication information is written into the code stream, where the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.
The method according to claim 21, wherein said generating an encoded code stream comprises:

If the number of types of filters is greater than 1 and less than the number of pixel types, then the filter label corresponding to the pixel type is written into the code stream.
The method according to claim 21, wherein said generating an encoded code stream comprises:

If the number of types of the filter is 1, the filter label corresponding to the pixel type is not written into the code stream.
The method according to any one of claims 21 to 26, wherein the method further comprises:

Determine the initial filter corresponding to each pixel category;

The initial filters corresponding to different pixel categories are combined to obtain the filter corresponding to each pixel category.
The method according to any one of claims 21 to 27, wherein said generating an encoded code stream further comprises:

The number of types of filters is reduced by one and then written into the code stream.
A method for loop filtering is characterized in that it includes:

Get the coded stream;

Parse the code stream to obtain the number of types of filters used in loop filtering;

If the number of the types of filters is equal to the number of pixel types, for the pixels of the pixel type, a filter with the same label as the pixel type or a label with a default corresponding relationship is used to perform loop filtering.
The method of claim 29, wherein if the number of types of filters is equal to the number of pixel types, the filter label indication information in the code stream is parsed, and if the filter label indicates The information is the first indication information, and a filter with the same label as the pixel category or a label with a default corresponding relationship is used to perform loop filtering, wherein the first indication information is used to indicate that the code stream does not include all The filter label corresponding to the pixel category.
The method of claim 29, wherein if the number of types of filters is equal to the number of pixel types, the filter label indication information in the code stream is parsed, and if the filter label indicates If the information is the second indication information, then the filter label corresponding to the pixel category in the code stream is parsed, where the second indication information is used to indicate that the code stream includes the filter corresponding to the pixel category Label.
28. The method of claim 29, wherein if the number of filter types is greater than 1 and less than the number of pixel categories, then the filter label corresponding to the pixel category in the code stream is parsed .
The method according to claim 31 or 32, wherein the method further comprises:

For the pixels of the pixel type, loop filtering is performed by using the parsed filter of the filter label corresponding to the pixel type.
The method according to claim 29, wherein if the number of types of filters is 1, for the pixels of the pixel category, the only filter in the code stream is used for loop filtering .
A device for loop filtering is characterized by comprising:

Determine the module to determine the number of types of filters used in loop filtering;

The processing module determines whether to write the filter label corresponding to the pixel category into the code stream according to the number of types of the filters.
The device according to claim 35, wherein the processing module is configured to:

If the number of filter types is equal to the number of pixel types, then the filter label corresponding to the pixel type is not written into the code stream.
The device according to claim 36, wherein the filter label corresponding to the pixel category is the same as the label of the pixel category or has a default corresponding relationship.
The device according to claim 36 or 37, wherein the processing module is further configured to:

The first indication information is written into the code stream, where the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.
The device according to claim 35, wherein the processing module is configured to:

If the number of filter types is equal to the number of pixel categories, and the filter label corresponding to the pixel category is different from the label of the pixel category or is not in the default correspondence, then the pixel category corresponding to the The filter label is written into the code stream.
The device according to claim 39, wherein the processing module is further configured to:

The second indication information is written into the code stream, where the second indication information is used to indicate that the code stream includes the filter label corresponding to the pixel category.
The device according to claim 35, wherein the processing module is configured to:

If the number of filter types is greater than 1 and less than the number of pixel types, the filter label corresponding to the pixel type is written into the code stream.
The device according to claim 35, wherein the processing module is configured to:

If the number of types of the filter is 1, the filter label corresponding to the pixel type is not written into the code stream.
The device according to any one of claims 35 to 42, wherein the processing module is further configured to:

Determine the initial filter corresponding to each pixel category;

The initial filters corresponding to different pixel categories are combined to obtain the filter corresponding to each pixel category.
The device according to any one of claims 35 to 43, wherein the processing module is further configured to:

The number of types of filters is reduced by one and then written into the code stream.
A device for loop filtering is characterized by comprising:

The determining module is used to determine the number of types of filters used in loop filtering;

The processing module is used to determine whether to parse the filter label corresponding to the pixel category in the code stream according to the number of types of the filters.
The device according to claim 45, wherein the processing module is configured to:

If the number of types of filters is equal to the number of pixel types, the filter label corresponding to the pixel type in the code stream is not parsed.
The device according to claim 45, wherein the processing module is configured to:

If the number of filter types is equal to the number of pixel types, the filter label indication information in the code stream is parsed, and if the filter label indication information is the first indication information, the code is not parsed The filter label corresponding to the pixel category in the stream, wherein the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.
The device according to claim 46 or 47, wherein the processing module is further configured to:

For the pixels of the pixel category, a filter with the same label as the pixel category or a label with a default corresponding relationship is used to perform loop filtering.
The device according to claim 45, wherein the processing module is configured to:

If the number of filter types is equal to the number of pixel categories, parse the filter label indication information in the code stream, and if the filter label indication information is the second indication information, parse the code stream The filter label corresponding to the pixel category in, wherein the second indication information is used to indicate that the code stream includes the filter label corresponding to the pixel category.
The device according to claim 45, wherein the processing module is configured to:

If the number of filter types is greater than 1 and less than the number of pixel types, then the filter label corresponding to the pixel type in the code stream is parsed.
The device according to claim 49 or 50, wherein the processing module is further configured to:

For the pixels of the pixel type, loop filtering is performed by using the parsed filter of the filter label corresponding to the pixel type.
The device according to claim 45, wherein the processing module is configured to:

If the number of filter types is 1, the filter label corresponding to the pixel type in the code stream is not parsed.
The device according to claim 52, wherein the processing module is further configured to:

For the pixels of the pixel category, the only filter in the code stream is used for loop filtering.
The device according to any one of claims 45 to 53, wherein the determining module is configured to:

Parse the code stream to obtain the number of types of the filter.
A device for loop filtering is characterized by comprising:

A filtering module, configured to perform loop filtering on the pixels of the pixel category by using a filter corresponding to the pixel category;

A processing module for generating an encoded code stream, where if the number of filter types used in loop filtering is equal to the number of pixel categories, the code stream does not include the filter label corresponding to the pixel category .
The device according to claim 55, wherein the processing module is configured to:

If the number of filter types is equal to the number of pixel types, then the filter label corresponding to the pixel type is not written into the code stream.
The device according to claim 56, wherein the filter label corresponding to the pixel category is the same as the label of the pixel category or has a default correspondence.
The device according to claim 56 or 57, wherein the processing module is further configured to:

The first indication information is written into the code stream, where the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.
The device according to claim 55, wherein the processing module is configured to:

If the number of types of filters is greater than 1 and less than the number of pixel types, then the filter label corresponding to the pixel type is written into the code stream.
The device according to claim 55, wherein the processing module is configured to:

If the number of types of the filter is 1, the filter label corresponding to the pixel type is not written into the code stream.
The device according to any one of claims 55 to 60, wherein the processing module is further configured to:

Determine the initial filter corresponding to each pixel category;

The initial filters corresponding to different pixel categories are combined to obtain the filter corresponding to each pixel category.
The device according to any one of claims 55 to 61, wherein the processing module is further configured to:

The number of types of filters is reduced by one and then written into the code stream.
A device for loop filtering is characterized by comprising:

The acquisition module is used to acquire the encoded code stream;

The processing module is used to analyze the code stream to obtain the number of filter types used in loop filtering; if the number of filter types is equal to the number of pixel types, for the pixels of the pixel type, use the same Filters with the same labels of the pixel categories or labels with a default corresponding relationship perform loop filtering.
The device according to claim 63, wherein the processing module is configured to:

If the number of types of filters is equal to the number of pixel categories, the filter label indication information in the code stream is parsed, and if the filter label indication information is the first indication information, the same as the pixel category Filters with the same label or a label with a default corresponding relationship perform loop filtering, wherein the first indication information is used to indicate that the code stream does not include the filter label corresponding to the pixel category.
The device according to claim 63, wherein the processing module is configured to:

If the number of filter types is equal to the number of pixel categories, parse the filter label indication information in the code stream, and if the filter label indication information is the second indication information, parse the code stream The filter label corresponding to the pixel category in, wherein the second indication information is used to indicate that the code stream includes the filter label corresponding to the pixel category.
The device according to claim 63, wherein the processing module is configured to:

If the number of filter types is greater than 1 and less than the number of pixel types, then the filter label corresponding to the pixel type in the code stream is parsed.
The device according to claim 65 or 66, wherein the processing module is configured to:

For the pixels of the pixel type, loop filtering is performed by using the parsed filter of the filter label corresponding to the pixel type.
The device according to claim 63, wherein the processing module is configured to:

If the number of the types of filters is 1, for the pixels of the pixel type, the only filter in the code stream is used for loop filtering.
A computer system, characterized in that it comprises:

Memory, used to store computer executable instructions;

The processor is configured to access the memory and execute the computer executable instructions to perform operations in the method according to any one of claims 1 to 34.
A movable device, characterized in that it comprises:

The device according to any one of claims 35 to 68; or,

The computer system according to claim 69.