CN106131554B - The point self-adapted compensation method of HEVC quick sample product based on major side direction - Google Patents
The point self-adapted compensation method of HEVC quick sample product based on major side direction Download PDFInfo
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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
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Abstract
The point self-adapted compensation method of HEVC quick sample product based on major side direction that the invention discloses a kind of.The major side direction that the present invention includes the following steps: step 1, extracts each CTU；Step 2, the Optimal Boundary compensation model and its offset for determining CTU；Step 3, the opposite rate distortion costs for calculating other SAO compensation ways；Step 4, the optimal SAO mode for determining CTU.The present invention extracts the major side direction of each CTU and the optimal EO mode as the CTU, then traverses BO mode, Parameter fusion mode, uncompensation mode, rules out optimization model by formula Cost=Distortion+ λ × Bitrate.The present invention reduces the complexity of SAO mode determination process using the texture information of image, saves the SAO coding runing time of HEVC.
Description
Technical field
The invention belongs to high-definition digital video compression coding and decoding technical fields, more particularly to one kind to be based on major side direction
HEVC (High Efficiency Video Coding, efficient video coding) point self-adapted compensation method of quick sample product.
Background technique
In the fast development of digital video application industrial chain, in face of Video Applications constantly to fine definition, high frame per second, height
The trend that compression ratio direction is developed, the limitation of previous generation video compression standard agreement H.264/AVC constantly highlight.Therefore, by
The tissue JCTVC that International Telecommunication Union (ITU) and Motion Picture Experts Group (MPEG) joint are set up proposes next-generation video and compiles
Decoding standard --- H.265/HEVC.Its target is under the premise of identical picture quality, and compression ratio ratio is H.264/AVC high-grade
It doubles.
HEVC is not broken through in terms of coding principle and basic structure, and H.264/AVC almost the same, i.e. prediction plus transformation
Block encoding mode；On Ciphering details and H.264/AVC also very close to comprising intra prediction, inter-prediction, estimation
With the coding/decoding modules such as compensation, orthogonal transformation, quantization, loop filtering, entropy coding and reconstruction.But with H.264/AVC compare
Compared with HEVC almost takes important corrective measure in each coding link, as intra prediction supports 35 kinds of modes, frames
Between prediction introduce Merge mode, change quantization support be up to 32 × 32 converter units, entropy coding using CABAC (be based on context
Adaptive binary arithmetic coding, Context Adaptive Binary Arithmetic Coder) algorithm etc., furthermore
HEVC loop filtering technology not only continues to use the de-blocking filter in H.264 standard, but also sampling point adaptive equalization (Sample is added
Adaptive Offset, SAO) filtering, it is subjective to reduce the ringing effect bring video as produced by estimation and change quantization
Mass loss.
H.265/HEVC the SAO in standard is using CTU as basic unit, by selecting a suitable classifier that will rebuild picture
Element divides classification, then uses different offsets to different classes of pixel, can effectively improve the subjective and objective quality of video.It
It is that boundary compensation (Edge Offset, EO) and sideband compensate (Band Offset, BO) respectively including two large compensation forms, this
Parameter fusion technology is also introduced outside.
Boundary compensation mode classifies to handled pixel using a kind of 3 dot structures.The side locating for the pixel
2 pixels that arest neighbors is added on the direction of edge (one-dimensional), centered on the pixel form horizontal (EO_0), vertical (EO_
1), 135 ° (EO_2), 45 ° (EO_3) four kind of 3 dot structures, as shown in Figure 1.According to the different distributions of 3 pixel values, which can
It is divided into peak pixel (if its value is greater than 2 adjacent pixels), valley pixel is (if its value is less than 2 adjacent pictures
Element), edge pixel (if its value be equal to any one adjacent pixel) and other pixels (if not meeting first 3 kinds), totally 4 class,
As shown in Figure 2.Deviant added by the pixel different to 4 classes is also different.
Sideband compensation technique is sorted out according to pixel intensity value, and pixel coverage is divided into 32 sidebands, Mei Gebian by it
Band is compensated according to itself pixel feature, and same sideband uses identical offset.HEVC standard provides that a CTB can only
4 continuous sidebands are selected, and only the pixel for belonging to this 4 sidebands is compensated.
Parameter fusion (Merge) refers to that, for a CTB block, SAO parameter directly uses the SAO parameter of adjacent block, this
When only need identify use which adjacent block SAO parameter.
To determine the SAO parameter of a CTU block, 4 kinds of EO modes, BO mode, Merge mode and uncompensation are needed to be traversed for
Mode, it is computationally intensive.
Summary of the invention
The present invention is directed to above-mentioned the technical problems existing in the prior art, using the texture information of image, for each
CTB, proposes a kind of point self-adapted compensation method of HEVC quick sample product based on major side direction, and this method includes following step
It is rapid:
Step 1, the major side direction for extracting each CTU (tree-like coding unit, coding tree unit).
In order to calculate pixel absolute value of the difference the sum of of each CTU on side not in the same direction using the texture information of image,
Defining the sum of the absolute value is main edge direction consistency (Dominant Edge Assent, DEA), candidate major side side
To including 0 °, 45 °, 90 °, 135 ° of four directions, and the consistency of corresponding four direction is expressed as DEA1、DEA2、
DEA3、DEA4, and take major side direction of the direction corresponding to consistency minimum value as the CTU；Extract the master of each CTU
Wanting edge direction, specific step is as follows:
The CTU block of N × N (N is generally 64) size is divided into 5 sub-blocks by 1-1., and calculates separately the pixel of 5 sub-blocks
Average value.The CTU block of N × N size is divided into 5 sub-blocks of a, b, c, d, e, calculates separately being averaged for 5 sub-block all pixels
Value Pa、Pb、Pc、Pd、PeIt is as follows:
Wherein, PijFor pixel value of the CTU at the position (i, j).
1-2. utilizes Pa、Pb、Pc、Pd、PeCalculate separately 4 candidate major side orientation consistency DEA1、DEA2、DEA3、
DEA4:
DEA1=| Pb-Pa|+|Pd-Pc|
DEA2=| Pc-Pe|+|Pe-Pb|
DEA3=| Pc-Pa|+|Pd-Pb|
DEA4=| Pd-Pe|+|Pe-Pa|
1-3. is by DEA1、DEA2、DEA3、DEA4Master of the candidate major side direction as the CTU corresponding to middle minimum value
Wanting edge direction DE, DE is the direction indicated in 0 °, 45 °, 90 °, 135 °.The minimum value of consistency is defined as follows:
DEAmin=min { DEA1,DEA2,DEA3,DEA4}
It, can be with 0 pixel to image if image resolution ratio is not the multiple (N is generally 64) of N when to image preprocessing
Edge is filled, and in the present invention, the CTU filled is known as imperfect CTU, for imperfect CTU, is calculated by above-mentioned
Major side direction out cannot reflect the texture feature of image, according to image space correlation, enable its major side direction be
The major side direction of nearest encoded CTU.
Step 2, Optimal Boundary compensation (EO) mode and its offset for determining CTU.
The major side direction that the optimal EO mode of CTU is calculated by step 1 determines, i.e. DEA1、DEA2、DEA3、DEA4
Corresponding EO mode is respectively as follows: EO_0, EO_1, EO_2, EO_3, then calculates its offset according to mode type.
After determining good model, the pixel in CTU is divided into 5 classes, and for belonging to 1~4 class, pixel is mended
It repays, each type can select different offsets again, it is therefore desirable to choose optimal compensation value M for each type.Each type
The determination process of optimal compensation value independently carries out.
2-1. calculates initial compensation value m=E/N using statistical information, and E is original pixels and reconstructed pixel (before SAO compensation)
Between the sum of difference, N is the pixel number for belonging to the type, is rounded to obtain m ' for m and by the offset m ' limit after rounding
System is between [- 7,7]；
2-2. carries out further limitation adjustment to offset according to boundary compensation type, for type 1 and type 2, compensation
Value has to be larger than equal to 0, and the offset of type 3 and type 4 is necessarily less than equal to 0.
2-3. traverses all candidate offset [0, m '] or [m ', 0], chooses the opposite the smallest offset of rate distortion costs
As optimal compensation value M, number of coded bits R=at this time | M |+1.Rate distortion costs Cost is defined as
Cost=Distortion+ λ × Bitrate
Wherein Distortion (distortion) is the mistake of original image and reconstructed image (after SAO compensation) under a certain EO mode
Very, λ (lambda) is Lagrange factor, and Bitrate (bit rate) is bit number needed for coding SAO parameter information.
Step 3, the opposite rate distortion costs for calculating other SAO compensation ways.
In order to determine the optimal SAO mode of CTU, also need to calculate the opposite of sideband compensation (BO) mode and Parameter fusion mode
Rate distortion costs.
The determination process of BO mode:
Firstly, being followed successively by 0~31 sideband chooses optimal compensation value；
Then, it is determined that optimal continuous 4 sidebands, the determination process of single sideband offset are as follows: utilizing statistical information
Initial compensation value m1=E/N1 is calculated, E is the sum of the difference between original pixels and reconstructed pixel (before SAO compensation), and N1 is to belong to
In the pixel number of the sideband, m1 is rounded to obtain m1 ', and the offset m1 ' after rounding is limited between [- 7,7]；?
M1 ' value after to clipping；
Subsequently, determine that candidate offset range is [0, m1 '] or [m1 ', 0] according to its symbol.
Finally, all candidate offsets of traversal, choose the opposite the smallest offset of rate distortion costs as optimal compensation value
M1, at this time number of coded bits R=| M1 |+2.It chooses so that rate distortion costs the smallest 4 continuous sidebands are optimal BO mould
Formula, the sum of corresponding offset of 4 sidebands are optimal compensation value.
In the rate distortion computation formula of Parameter fusion mode, Distortion loses for the relative rate of the adjacent block of used parameter
True cost, Bitrate are flag bit number of coded bits.
Step 4, the optimal SAO mode for determining CTU.
The compensation type of SAO includes uncompensation, EO mode, BO mode, left adjacent block Parameter fusion mode and upper adjacent block
Parameter fusion mode, SAO final compensation type are selected from 5 kinds of modes, select one group of SAO ginseng that distortion performance is optimal
Number.
So far, entirely the point self-adapted compensation method of HEVC quick sample product based on major side direction terminates.
The present invention has the beneficial effect that:
This method substantially utilizes the complexity of the texture information reduction SAO mode determination process of image, to reduce HEVC
Scramble time.Specifically, optimal EO of this method by extracting the major side direction of each CTU and as the CTU
Then mode traverses BO mode, Parameter fusion mode, uncompensation mode, passes through formula Cost=Distortion+ λ × Bitrate
Optimization model is ruled out, compared to the method for traditional all EO modes of traversal, it is big little situation to be lost in encoding efficiency
Amount saves the SAO scramble time of HEVC.
Detailed description of the invention
Fig. 1: SAO 4 kinds of boundary compensation pattern diagrams.
Fig. 2: the classification schematic diagram of boundary compensation.
Fig. 3: CTU major side direction schematic diagram.
Fig. 4: CTU divides schematic diagram.
Fig. 5: the point self-adapted compensation method flow chart of HEVC quick sample product based on major side direction.
Specific embodiment
By taking the cataloged procedure of several sequences such as Basketball Drill as an example, to reduce ringing effect, it need to be carried out
Sampling point adaptive equalization, the present embodiment are accordingly described in detail the inventive method of proposition.
The step of HEVC quick sample product based on major side direction point self-adapted compensation method, is as follows:
Step 1, the major side direction for extracting each CTU (tree-like coding unit, coding tree unit).
In order to calculate pixel absolute value of the difference the sum of of each CTU on side not in the same direction using the texture information of image,
Defining the sum of the absolute value is main edge direction consistency (Dominant Edge Assent, DEA), candidate major side side
To including 0 °, 45 °, 90 °, 135 ° of four directions, as shown in figure 3, and the consistency of corresponding four direction be expressed as
DEA1、DEA2、DEA3、DEA4, and take major side direction of the direction corresponding to consistency minimum value as the CTU；It extracts every
Specific step is as follows in the major side direction of a CTU:
The CTU block of N × N (N is generally 64) size is divided into 5 sub-blocks by 1-1., and calculates separately the pixel of 5 sub-blocks
Average value.The CTU block of N × N size is divided into 5 sub-blocks of a, b, c, d, e as shown in Figure 4, it is all to calculate separately 5 sub-blocks
The average value P of pixela、Pb、Pc、Pd、PeIt is as follows:
Wherein, PijFor pixel value of the CTU at the position (i, j).
1-2. utilizes Pa、Pb、Pc、Pd、PeCalculate separately 4 candidate major side orientation consistency DEA1、DEA2、DEA3、
DEA4:
DEA1=| Pb-Pa|+|Pd-Pc|
DEA2=| Pc-Pe|+|Pe-Pb|
DEA3=| Pc-Pa|+|Pd-Pb|
DEA4=| Pd-Pe|+|Pe-Pa|
1-3. is by DEA1、DEA2、DEA3、DEA4Master of the candidate major side direction as the CTU corresponding to middle minimum value
Wanting edge direction DE, DE is the direction indicated in 0 °, 45 °, 90 °, 135 °.The minimum value of consistency is defined as follows:
DEAmin=min { DEA1,DEA2,DEA3,DEA4}
It, can be with 0 pixel to image if image resolution ratio is not the multiple (N is generally 64) of N when to image preprocessing
Edge is filled, and in the present invention, the CTU filled is known as imperfect CTU, for imperfect CTU, is calculated by above-mentioned
Major side direction out cannot reflect the texture feature of image, according to image space correlation, enable its major side direction be
The major side direction of nearest encoded CTU.
Step 2, Optimal Boundary compensation (EO) mode and its offset for determining CTU.
The major side direction that the optimal EO mode of CTU is calculated by step 1 determines, i.e. DEA1、DEA2、DEA3、DEA4
Corresponding EO mode is respectively as follows: EO_0, EO_1, EO_2, EO_3, then calculates its offset according to mode type.
After determining good model, the pixel in CTU is divided into 5 classes, i.e., 4 class shown in Fig. 2 and the 5th class for being not belonging to this 4 class
Situation, for belonging to 1~4 class, pixel needs are compensated, and each type can select different offsets again, therefore
It needs to choose optimal compensation value M for each type.The determination process of each type optimal compensation value independently carries out.
2-1. calculates initial compensation value m=E/N using statistical information, and E is original pixels and reconstructed pixel (before SAO compensation)
Between the sum of difference, N is the pixel number for belonging to the type, is rounded to obtain m ' for m and by the offset m ' limit after rounding
System is between [- 7,7]；
2-2. carries out further limitation adjustment to offset according to boundary compensation type, for type 1 and type 2, compensation
Value has to be larger than equal to 0, and the offset of type 3 and type 4 is necessarily less than equal to 0.
2-3. traverses all candidate offset [0, m '] or [m ', 0], chooses the opposite the smallest offset of rate distortion costs
As optimal compensation value M, number of coded bits R=at this time | M |+1.Rate distortion costs Cost is defined as
Cost=Distortion+ λ × Bitrate
Wherein Distortion (distortion) is the mistake of original image and reconstructed image (after SAO compensation) under a certain EO mode
Very, λ (lambda) is Lagrange factor, and Bitrate (bit rate) is bit number needed for coding SAO parameter information.
Step 3, the opposite rate distortion costs for calculating other SAO compensation ways.
In order to determine the optimal SAO mode of CTU, also need to calculate the opposite of sideband compensation (BO) mode and Parameter fusion mode
Rate distortion costs.
The determination process of BO mode:
Firstly, being followed successively by 0~31 sideband chooses optimal compensation value；
Then, it is determined that optimal continuous 4 sidebands, the determination process of single sideband offset are as follows: utilizing statistical information
Initial compensation value m1=E/N1 is calculated, E is the sum of the difference between original pixels and reconstructed pixel (before SAO compensation), and N1 is to belong to
In the pixel number of the sideband, m1 is rounded to obtain m1 ', and the offset m1 ' after rounding is limited between [- 7,7]；?
M1 ' value after to clipping；
Subsequently, determine that candidate offset range is [0, m1 '] or [m1 ', 0] according to its symbol.
Finally, all candidate offsets of traversal, choose the opposite the smallest offset of rate distortion costs as optimal compensation value
M1, at this time number of coded bits R=| M1 |+2.It chooses so that rate distortion costs the smallest 4 continuous sidebands are optimal BO mould
Formula, corresponding offset are optimal compensation value.
In the rate distortion computation formula of Parameter fusion mode, Distortion loses for the relative rate of the adjacent block of used parameter
True cost, Bitrate are flag bit number of coded bits.
Step 4, the optimal SAO mode for determining CTU.
The compensation type of SAO includes uncompensation, EO mode, BO mode, left adjacent block Parameter fusion mode and upper adjacent block
Parameter fusion mode, SAO final compensation type are selected from 5 kinds of modes, select one group of SAO ginseng that distortion performance is optimal
Number.
So far, entirely the point self-adapted compensation method of HEVC quick sample product based on major side direction terminates, method flow diagram
As shown in Figure 5.
The present invention tests test environment and compiles fortune in window8 system VS2010 using HEVC standard identifying code HM13.0
16 cycle tests are counted and are tested by row.With full I frame (All Intra, AI), arbitrary access (Random Access,
RA), low latency-P frame (LP), low latency-B frame (LB) are coding environment, and setting 22,27,32,37 is used as QP value, utilizes brightness
Bjontegaard-Delta bit rate (YBD-rate) by the sideband compensation optimizing improved method of proposition and the original SAO of HEVC
Parameter determination method compares, and counts the encoding and decoding time, and the results are shown in Table 1.
By table 1 it can be found that the present invention proposes fast method compared with original method, 53.39% SAO coding is saved
Time, and the loss very little of encoding efficiency.
HEVC quick sample product point self-adapted compensation method of the table 1 based on major side direction and HEVC source code Contrast on effect result
Certainly, those of ordinary skill in the art is it should be appreciated that above embodiments are intended merely to illustrate this hair
It is bright, and be not intended as limitation of the invention, as long as within the scope of the invention, all to the variations of above embodiments, modification
Protection scope of the present invention will be fallen into.
Claims (2)
1. the point self-adapted compensation method of HEVC quick sample product based on major side direction, it is characterised in that include the following steps:
Step 1, the major side direction for extracting each CTU；
Pixel absolute value of the difference the sum of of each CTU on side not in the same direction is calculated, defining the sum of the absolute value is major side side
To consistency DEA, candidate major side direction includes 0 °, 45 °, 90 °, 135 ° of four directions, and the one of corresponding four direction
Cause property is expressed as DEA1、DEA2、DEA3、DEA4, and take direction corresponding to consistency minimum value as the main of the CTU
Edge direction；
Step 2, the optimal EO mode and its offset for determining CTU；
The major side direction that the optimal EO mode of CTU is calculated by step 1 determines, i.e. DEA1、DEA2、DEA3、DEA4It is corresponding
EO mode be respectively as follows: EO_0, EO_1, EO_2, EO_3, its offset is then calculated according to mode type；After determining good model,
Be split up into 5 classes according to the relationship between CTU center pixel and corresponding edge pixel: type 1 is valley pixel, type 2 is following
Edge pixel, type 3 are top edge pixel, type 4 is peak pixel, type 5 is other pixels；For belonging to 1~4 class,
Pixel needs compensate, and each type can select different offsets again, it is therefore desirable to choose optimal benefit for each type
Repay value M；The determination process of each type optimal compensation value independently carries out；
Step 3, the opposite rate distortion costs for calculating other SAO compensation ways；
In order to determine the optimal SAO mode of CTU, the opposite rate distortion costs for calculating BO mode and Parameter fusion mode are also needed；
Step 4, the optimal SAO mode for determining CTU；
The compensation type of SAO includes uncompensation, EO mode, BO mode, left adjacent block Parameter fusion mode and upper adjacent block parameter
Fusion mode, SAO final compensation type are selected from 5 kinds of modes, one group of SAO parameter for selecting distortion performance optimal；
Specific step is as follows in the major side direction of each CTU of extraction described in step 1:
The CTU block of N × N size is divided into 5 sub-blocks by 1-1., and calculates separately the pixel average of 5 sub-blocks；N × N is big
Small CTU block is divided into a, b, c, d, e5 sub-blocks, calculates separately the average value P of 5 sub-block all pixelsa、Pb、Pc、Pd、PeSuch as
Under:
Wherein, PijFor pixel value of the CTU at the position (i, j)；
1-2. utilizes Pa、Pb、Pc、Pd、PeCalculate separately 4 candidate major side orientation consistency DEA1、DEA2、DEA3、DEA4:
DEA1=| Pb-Pa|+|Pd-Pc|
DEA2=| Pc-Pe|+|Pe-Pb|
DEA3=| Pc-Pa|+|Pd-Pb|
DEA4=| Pd-Pe|+|Pe-Pa|；
1-3. is by DEA1、DEA2、DEA3、DEA4Main side of the candidate major side direction as the CTU corresponding to middle minimum value
Edge direction DE, DE are the direction indicated in 0 °, 45 °, 90 °, 135 °；The minimum value of consistency is defined as follows:
DEAmin=min { DEA1,DEA2,DEA3,DEA4}；
Detailed process is as follows for step 2:
2-1. calculates initial compensation value m=E/N using statistical information, and E is the sum of the difference between original pixels and reconstructed pixel,
N is the pixel number for belonging to the type, is rounded m to obtain m ' and the offset m ' after rounding is limited between [- 7,7]；
2-2. carries out further limitation adjustment to offset according to boundary compensation type, and for type 1 and type 2, offset must
Must be more than or equal to 0, the offset of type 3 and type 4 is necessarily less than equal to 0；
2-3. traverses all candidate offset [0, m '] or [m ', 0], chooses the opposite the smallest offset conduct of rate distortion costs
Optimal compensation value M, at this time number of coded bits R=| M |+1；Rate distortion costs Cost is defined as
Cost=Distortion+ λ × Bitrate
Wherein Distortion is the distortion of original image and reconstructed image under a certain EO mode, and λ is Lagrange factor,
Bitrate is bit number needed for coding SAO parameter information.
2. the HEVC quick sample product point self-adapted compensation method according to claim 1 based on major side direction, feature
It is to calculate the opposite rate distortion costs of other SAO compensation ways described in step 3, wherein the determination process of BO mode:
Firstly, being followed successively by 0~31 sideband chooses optimal compensation value；
Then, it is determined that optimal continuous 4 sidebands, the determination process of single sideband offset are as follows: being calculated using statistical information
Initial compensation value m1=E/N1, E are the sum of the differences between original pixels and reconstructed pixel, and N1 is the pixel for belonging to the sideband
M1 is rounded to obtain m1 ', and the offset m1 ' after rounding is limited between [- 7,7] by number；M1 ' value after obtaining clipping；
Subsequently, determine that candidate offset range is [0, m1 '] or [m1 ', 0] according to its symbol；
Finally, all candidate offsets of traversal, the opposite the smallest offset of rate distortion costs is chosen as optimal compensation value M1, this
When number of coded bits R=| M1 |+2；It chooses so that rate distortion costs the smallest 4 continuous sidebands are optimal BO mode, 4
The sum of corresponding offset of sideband is optimal compensation value；
In the rate distortion computation formula of Parameter fusion mode, Distortion is distorted generation for the relative rate of the adjacent block of used parameter
Valence, Bitrate are flag bit number of coded bits.
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| CN108206952B (en) * | 2016-12-19 | 2021-12-28 | 北京君正集成电路股份有限公司 | BO processing method and device based on HEVC |
| CN109756736B (en) * | 2017-11-01 | 2021-02-12 | 北京金山云网络技术有限公司 | SAO mode decision method, device, electronic equipment and readable storage medium |
| CN109963160A (en) * | 2017-12-26 | 2019-07-02 | 北京君正集成电路股份有限公司 | Simplification SAO optimal compensation value calculating method and device based on HEVC |
| CN109963154A (en) * | 2017-12-26 | 2019-07-02 | 北京君正集成电路股份有限公司 | The method and apparatus for determining optimal compensation value based on multiple candidate offsets |
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