CN114071138A - Intra-frame prediction encoding method, intra-frame prediction encoding device, and computer-readable medium - Google Patents
Intra-frame prediction encoding method, intra-frame prediction encoding device, and computer-readable medium Download PDFInfo
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- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/146—Data rate or code amount at the encoder output
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- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/103—Selection of coding mode or of prediction mode
- H04N19/11—Selection of coding mode or of prediction mode among a plurality of spatial predictive coding modes
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- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
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Abstract
The present disclosure provides an intra prediction encoding method, including: acquiring texture information of the first target block, and determining an alternative block dividing mode of the first target block according to the texture information; determining the optimal prediction mode of a second target block obtained by dividing a first target block according to the alternative block dividing mode; and determining the optimal block division mode of the first target block according to the coding bit number and the distortion degree corresponding to all the second target blocks in the respective optimal prediction modes. The present disclosure also provides an intra prediction encoding apparatus and a computer readable medium.
Description
Technical Field
The present disclosure relates to the field of image and video coding technologies, and in particular, to an intra prediction coding method, an intra prediction coding apparatus, and a computer readable medium.
Background
With the development of image and video technologies, a lot of High-quality media materials and resources manufactured by using an Ultra-High Definition (UHD) technology and a Virtual Reality (VR) technology appear in the image and video market, and the media resources are more and more popular at a user end because they can provide more realistic visual experience. Since these image videos have High resolution and wide luminance dynamic range, compared with the conventional low-definition Video resources, the amount of data that needs to be transmitted is greatly increased, and the High Efficiency Video Coding (HEVC) standard, i.e., the h.265 standard, does not have sufficient compression capability to meet the needs of the future market. Aiming at the problem, the joint Video exploration expert group develops a new generation Video Coding standard- -a multifunctional Video Coding (VVC) standard based on a high-efficiency Video Coding standard; in addition, a new generation of AVS3 video coding is provided in the standard page of the Chinese digital audio and video coding and decoding technology, and the compression performance of the video coding is further improved, so that the method is applied to the wider video coding field.
Prediction techniques are important components of video coding techniques such as multifunctional video coding and AVS3 video coding, including intra prediction and inter prediction. In the related coding standards, in order to increase the compression coding performance, the intra-frame prediction is refined, and becomes more flexible and complex, so that the intra-frame prediction requires more coding time and the intra-frame prediction coding complexity is greatly increased.
Disclosure of Invention
The present disclosure is directed to at least one of the technical problems of the related art, and provides an intra prediction encoding method, an intra prediction encoding apparatus, and a computer readable medium.
To achieve the above object, in a first aspect, an embodiment of the present disclosure provides an intra prediction encoding method, including:
acquiring texture information of a first target block, and determining an alternative block division mode of the first target block according to the texture information, wherein the first target block is any one coding block of a frame of image, and the texture information comprises: texture correlations of the first target block in at least two target partition directions;
determining the optimal prediction mode of a second target block obtained by dividing the first target block according to the alternative block dividing mode;
and determining the optimal block division mode of the first target block according to the coding bit number and the distortion degree corresponding to all the second target blocks in the respective optimal prediction modes.
In a second aspect, an embodiment of the present disclosure further provides an intra prediction encoding apparatus, including:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the intra prediction encoding method as described in the above embodiments.
In a third aspect, the disclosed embodiments also provide a computer readable medium, on which a computer program is stored, where the program, when executed by a processor, implements the steps in the intra prediction encoding method as described in the above embodiments.
The present disclosure has the following beneficial effects:
the embodiment of the disclosure provides an intra-frame prediction encoding method, an intra-frame prediction encoding device and a computer readable medium, which can realize deletion of non-preferred block division modes, reduce intra-frame prediction encoding time, reduce encoding complexity and increase encoding efficiency by obtaining texture information of an encoding block and screening the block division modes according to texture correlations in a plurality of division directions included in the texture information.
Drawings
Fig. 1 is a flowchart of an intra prediction encoding method according to an embodiment of the present disclosure;
FIG. 2 is a flowchart illustrating a method of step S1 according to an embodiment of the present disclosure;
FIG. 3 is a flowchart illustrating another exemplary method for implementing step S1 according to an embodiment of the present disclosure;
fig. 4 is a schematic block division diagram of a coding block according to an embodiment of the present disclosure;
FIG. 5 is a flowchart illustrating a method of step S2 according to an embodiment of the present disclosure;
fig. 6 is a flowchart of a specific implementation method of step S202 in the embodiment of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present disclosure, the intra prediction encoding method, the intra prediction encoding apparatus and the computer readable medium provided in the present disclosure are described in detail below with reference to the accompanying drawings.
Example embodiments will be described more fully hereinafter with reference to the accompanying drawings, but which may be embodied in different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. Thus, a first element, component, or module discussed below could be termed a second element, component, or module without departing from the teachings of the present disclosure.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The intra-frame prediction encoding method, the intra-frame prediction encoding device and the computer readable medium provided by the disclosure can be used for acquiring texture information of an encoding block, screening the block division modes according to the texture correlation in a plurality of division directions included in the texture information, and realizing the deletion of non-preferred block division modes.
Fig. 1 is a flowchart of an intra prediction encoding method according to an embodiment of the present disclosure. As shown in fig. 1, the method includes:
and step S1, acquiring texture information of the first target block, and determining an alternative block dividing mode of the first target block according to the texture information.
The first target block is any one of the encoding blocks of a frame image (for example, the whole frame image or the encoding block divided from the frame image and requiring further division), and the texture information includes texture correlations, or texture complexities, of the first target block in at least two target division directions. Aiming at different coding blocks, if texture information is different, block division modes corresponding to the coding blocks are also different; for a single coding block, the higher the texture correlation in a certain target division direction, the higher the tendency of selecting block division in that direction, and the block division mode of the first target block is determined according to the texture correlation of the first target block in at least two target division directions, that is, according to the texture correlation of the first target block in each target division direction, the one target division direction with the highest texture correlation or a plurality of higher target division directions is selected for block division of the first target block.
And step S2, determining the best prediction mode of the second target block obtained by dividing the first target block according to the alternative block division mode.
Wherein the best prediction mode information includes a final prediction candidate mode list.
And step S3, determining the optimal block division mode of the first target block according to the coding bit number and the distortion degree corresponding to all the second target blocks in the respective optimal prediction modes.
On the basis that the optimal prediction mode is selected by each second target block, corresponding alternative block division modes such as binary tree division, ternary tree division and extended quaternary tree division are traversed, and the optimal block division mode with the minimum cost is determined according to the required coding bit number and the distortion degree of the coded block.
The embodiment of the disclosure provides an intra-frame prediction encoding method, which can be used for acquiring texture information of a first target block, determining a block division mode, namely fast block division, of the first target block according to texture correlations in a plurality of target division directions included in the texture information, deleting a non-preferred block division mode, reducing intra-frame prediction encoding time, reducing encoding complexity and increasing encoding efficiency.
Fig. 2 is a flowchart illustrating a specific implementation method of step S1 in the embodiment of the present disclosure. As shown in fig. 2, in step S1, the step of obtaining texture information of the first target block specifically includes:
step S1a, obtaining pixel information of the first target block, performing Gray Level mapping on the pixel information, and calculating a Gray Level Co-occurrence Matrix (GLCM for short) of the first target block in each target division direction according to a Gray Level mapping result.
In some embodiments, when there are two different target division directions, taking the x-axis direction as horizontal to the right and the y-axis direction as vertical to the down, the following formula is used:
P(i，j)＝#{(x1，y1)，(x2，y2)∈M×N|f(x1，y1)＝j，f(x2，y2)＝i}
and calculating to obtain elements in the gray level co-occurrence matrix of the first target block in a target division direction, wherein P (i, j) represents the elements in the corresponding gray level co-occurrence matrix, i and j are corresponding gray levels, # () represents the number of parameters in brackets, f (x, y) is the first target block, and the size of the first target block is M multiplied by N.
And S1b, respectively calculating texture correlation of the first target block in each target division direction according to each gray level co-occurrence matrix.
In some embodiments, the correlations of a single coding block in four directions may be calculated according to the gray level co-occurrence matrix, where the four directions respectively correspond to four angles of 0 °, 45 °, 90 ° and 135 ° in the rectangular coordinate system, and the correlations represent similarities of row-column gray level relationships of the gray level co-occurrence matrix, that is, texture correlations of the coding block in the corresponding directions are reflected, specifically, the following formula is adopted:
calculating to obtain the correlation of block pixels in a target dividing direction of the first target block, namely texture correlation, wherein COR represents the correlation in the corresponding direction, muiAnd mujIs a mean value, σiAnd σjIs the variance.
The embodiment of the disclosure provides an intra prediction encoding method, which can be used for acquiring texture information by calculating a gray level co-occurrence matrix and correlation obtained by the gray level co-occurrence matrix, so as to realize texture analysis of a first target block.
Fig. 3 is a flowchart illustrating another specific implementation method of step S1 in the embodiment of the present disclosure. Specifically, the texture information includes a texture correlation of the first target block in two target division directions; as shown in fig. 3, in step S1, the step of determining the alternative block division manner of the first target block according to the texture information specifically includes:
step S101, judging whether the absolute value of the difference value of the texture correlation of the first target block in the two target dividing directions is larger than or equal to a preset texture correlation threshold value.
In some embodiments, the texture correlation threshold is set according to a Quantization Parameter (QP), with different texture correlation thresholds being set for different quantization parameter ranges.
In step S101, if it is determined that the absolute value of the difference between the texture correlations of the first target block in the two target dividing directions is greater than or equal to the texture correlation threshold, it is determined that the block division of the first target block is performed only in the target dividing direction with the larger texture correlation, that is, step S1 determines that the alternative block division manner of the first target block is to perform the block division only in the target dividing direction with the larger texture correlation, and then step S102 is performed; in some embodiments, if it is determined that the absolute value of the difference between the texture correlations of the first target block in the two target partition directions is smaller than the texture correlation threshold, an optimal block partition mode is determined from all partition modes, where all partition modes include a Quadtree (QT) partition and/or block partition modes corresponding to the two target partition directions respectively.
Here, generally, the block division in a certain target division direction means that a division line of the block division is parallel to the target division direction.
In some embodiments, the first target block is rectangular, two of the four sides of the first target block are parallel to the horizontal direction, the other two sides of the first target block are parallel to the vertical direction, and the two target division directions are the horizontal direction and the vertical direction, respectively.
The frame image corresponding to the first target block may also be a rectangle, two of the four sides of which define the horizontal direction, and the other two sides define the vertical direction. It should be understood, of course, that the two target division directions described above, the horizontal direction and the vertical direction, are merely used to indicate two relative directions perpendicular to each other, and there is no inevitable relationship with the shapes of the frame image and the encoding block.
And step S102, generating a list of alternative block division modes.
The candidate block partition mode list records a candidate block partition mode corresponding to a target partition direction with a large texture correlation, where the candidate block partition mode includes at least one of Binary Tree (BT) partition, Extended Binary Tree (EBT) partition, Triple Tree (TT) partition, and Extended Quad Tree (EQT) partition.
In some embodiments, a candidate block division candidate pattern list in which all the division patterns described in step S101 are recorded is stored in advance, and when it is determined in step S101 that the block division of the first target block is performed only in the target division direction with a large texture correlation, block division patterns corresponding to other target division directions in the candidate block division candidate pattern list are deleted, so as to generate the candidate block division pattern list.
Fig. 4 is a schematic block division diagram of a coding block according to an embodiment of the present disclosure. As shown in fig. 4, the coding blocks after non-division, horizontal binary tree division, vertical binary tree division, horizontal extended quadtree division, vertical extended quadtree division, and quadtree division, which may be included in all division modes, are respectively shown, wherein when the two target division directions are the horizontal direction and the vertical direction, respectively, since the alternative block division mode emphasizes the directivity, it may include one of the horizontal binary tree division or the vertical binary tree division, and one of the horizontal extended quadtree division or the vertical extended quadtree division.
The embodiment of the disclosure provides an intra-frame prediction encoding method, which can be used for determining that the block division of a first target block is only performed in a target division direction with larger texture correlation by judging the relationship of the texture correlation of the first target block in two target division directions when corresponding conditions are met, so as to realize the screening of block division modes, delete non-preferred block division modes, reduce intra-frame prediction encoding time, reduce encoding complexity and increase encoding efficiency.
Fig. 5 is a flowchart illustrating a specific implementation method of step S2 in the embodiment of the present disclosure. As shown in fig. 5, the step S2 of determining the best prediction mode of the second target block obtained by dividing the first target block according to the alternative block division manner specifically includes: step S201, obtaining Rough Mode Decision (RMD) information of the second target block, and determining a Rough cost minimum Mode.
The cost calculation in the rough selection process is similar to that in the rate distortion optimization process, and the mode with the minimum rough selection cost reflects the optimal prediction mode of the current coding block to a certain extent.
Step S202, obtaining Most Probable Modes (MPMs) information of the second target block, and generating candidate prediction mode information of the second target block according to the coarse selection mode information and the Most Probable Modes information.
The most probable mode information of the second target block is determined according to the best prediction mode information of the adjacent coding blocks, and the most probable mode reflects the best prediction mode of the current block to a certain extent according to the spatial similarity.
Step S203, performing Rate Distortion optimization on the second target block according to the candidate prediction mode information, and determining an optimal prediction mode with a minimum Rate Distortion cost (RDcost for short).
Fig. 6 is a flowchart of a specific implementation method of step S202 in the embodiment of the present disclosure. Specifically, the rough selection mode information includes a first candidate mode list corresponding to the rough selection mode, the most probable mode information includes a second candidate mode list corresponding to the most probable mode, and the best prediction mode information includes a third candidate mode list corresponding to a Rate Distortion Optimization (RDO) process; as shown in fig. 6, in step S202, the step of generating the candidate prediction mode information of the second target block according to the rough mode information and the most probable mode information specifically includes:
step S2021, when the most probable mode information includes the mode with the minimum coarse selection cost, updates the third candidate mode list according to the second candidate mode list.
In step S2021, after the relationship analysis is performed, if the mode with the minimum rough selection cost belongs to the candidate mode list corresponding to the most probable mode, the best prediction mode only needs to be searched in the second candidate mode list, and the candidate prediction modes determined in the rough selection process do not need to be merged.
Step S2022, when the most probable mode information does not record the mode with the minimum coarse cost, updating the third candidate mode list according to the first candidate mode list and the second candidate mode list.
After step S2022, the candidate patterns in the third candidate pattern list are traversed to determine the best prediction mode with the smallest rate-distortion cost.
It should be noted that intra-frame prediction is a serial process, and the process of block division directly affects the subsequent mode selection. In case of deleting a part of the block division modes, the prediction mode selection will no longer work for the part of the block division modes deleted; for non-deleted block partition modes, the prediction mode selection will reduce its coding complexity. Therefore, the performance of the combination of the two algorithms corresponding to the block division mode determining step and the prediction mode determining step in the embodiment of the present disclosure is not equal to the performance of the simple stacking of the algorithms, and in the actual testing process, the performance of the combination of the two algorithms is superior to the performance of the simple stacking of the algorithms.
The embodiment of the disclosure provides an intra-frame prediction encoding method, which can be used for determining the best prediction mode information, namely, the fast prediction mode selection, according to the relationship between the rough selection mode information and the most probable mode information on the basis of screening the block division modes, thereby reducing the encoding time and realizing the fast intra-frame prediction encoding.
The embodiment of the present disclosure further provides an intra prediction encoding apparatus, including:
one or more processors; storage means for storing one or more programs; when executed by the one or more processors, cause the one or more processors to implement any of the intra prediction encoding methods as in the above embodiments.
The disclosed embodiments also provide a computer readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the steps in any of the intra prediction encoding methods in the above embodiments.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods disclosed above, functional modules/units in the apparatus, may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Example embodiments have been disclosed herein, and although specific terms are employed, they are used and should be interpreted in a generic and descriptive sense only and not for purposes of limitation. In some instances, features, characteristics and/or elements described in connection with a particular embodiment may be used alone or in combination with features, characteristics and/or elements described in connection with other embodiments, unless expressly stated otherwise, as would be apparent to one skilled in the art. Accordingly, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the disclosure as set forth in the appended claims.
Claims (9)
1. An intra prediction encoding method, comprising:
acquiring texture information of a first target block, and determining an alternative block division mode of the first target block according to the texture information, wherein the first target block is any one coding block of a frame of image, and the texture information comprises: texture correlations of the first target block in at least two target partition directions;
determining the optimal prediction mode of a second target block obtained by dividing the first target block according to the alternative block dividing mode;
and determining the optimal block division mode of the first target block according to the coding bit number and the distortion degree corresponding to all the second target blocks in the respective optimal prediction modes.
2. The intra prediction encoding method according to claim 1, wherein the step of obtaining texture information of the first target block includes:
acquiring pixel information of the first target block, performing gray level mapping on the pixel information, and calculating to obtain a gray level co-occurrence matrix of the first target block in each target division direction according to a gray level mapping result;
and respectively calculating to obtain the texture correlation of the first target block in each target division direction according to each gray level co-occurrence matrix.
3. The intra prediction encoding method according to claim 1, wherein the texture information includes: texture correlation of the first target block in two target partition directions;
the step of determining the alternative block division manner of the first target block according to the texture information includes:
judging whether the absolute value of the difference value of the texture correlation of the first target block in the two target division directions is greater than or equal to a preset texture correlation threshold value or not;
and if the absolute value of the difference value of the texture correlations of the first target block in the two target division directions is judged to be larger than or equal to the texture correlation threshold, determining that the block division of the first target block is only carried out in the target division direction with larger texture correlation.
4. The intra prediction encoding method according to claim 3, wherein the first target block is rectangular, two of four sides of the first target block are parallel to a horizontal direction, the other two sides are parallel to a vertical direction, and the two target division directions are the horizontal direction and the vertical direction, respectively.
5. The intra prediction encoding method according to claim 3, wherein, after the step of determining that the block division of the first target block is performed only in the target division direction in which the texture correlation is large, the step of determining the alternative block division manner of the first target block based on the texture information further includes:
generating a candidate block division mode list in which candidate block division modes corresponding to target division directions with large texture correlations are recorded, wherein the candidate block division modes include: at least one of a binary tree partition, an extended binary tree partition, a ternary tree partition, and an extended quadtree partition.
6. The intra prediction encoding method according to claim 1, wherein the determining of the best prediction mode of the second target block obtained by dividing the first target block according to the alternative block division manner includes:
obtaining rough selection mode information of the second target block, and determining a rough selection cost minimum mode;
acquiring the most probable mode information of the second target block, and generating alternative prediction mode information of the second target block according to the rough selection mode information and the most probable mode information;
and performing rate distortion optimization on the second target block according to the candidate prediction mode information, and determining the optimal prediction mode with the minimum rate distortion cost.
7. The intra prediction encoding method according to claim 6, wherein the coarse mode information includes: a first candidate mode list corresponding to the rough selection mode; the most probable mode information includes: a second candidate pattern list corresponding to the most probable pattern; the alternative prediction mode information includes: a third candidate mode list corresponding to the rate distortion optimization process;
the step of generating the candidate prediction mode information of the second target block according to the coarse selection mode information and the most probable mode information includes:
when the mode with the minimum rough selection cost is recorded in the most probable mode information, updating the third candidate mode list according to the second candidate mode list;
and when the mode with the minimum rough cost is not recorded in the most probable mode information, updating the third candidate mode list according to the first candidate mode list and the second candidate mode list.
8. An intra prediction encoding apparatus comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of intra-prediction encoding as claimed in any one of claims 1-7.
9. A computer readable medium, on which a computer program is stored, wherein said program, when executed by a processor, carries out the steps in the method for intra prediction encoding as claimed in any one of claims 1 to 7.
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| CN115118977B (en) * | 2022-08-29 | 2022-11-04 | 华中科技大学 | Intra-frame prediction encoding method, system, and medium for 360-degree video |
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