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WO2007033551A1 - Procede de filtrage a boucle destine a une operation de codage d'image - Google Patents

Procede de filtrage a boucle destine a une operation de codage d'image Download PDF

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Publication number
WO2007033551A1
WO2007033551A1 PCT/CN2006/001619 CN2006001619W WO2007033551A1 WO 2007033551 A1 WO2007033551 A1 WO 2007033551A1 CN 2006001619 W CN2006001619 W CN 2006001619W WO 2007033551 A1 WO2007033551 A1 WO 2007033551A1
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WIPO (PCT)
Prior art keywords
block
value
filtering
edge
image
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PCT/CN2006/001619
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English (en)
Chinese (zh)
Inventor
Lianhuan Xiong
Shilin Xu
Li Yu
Guangxi Zhu
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51—Motion estimation or motion compensation
    • H04N19/527—Global motion vector estimation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/103—Selection of coding mode or of prediction mode
    • H04N19/107—Selection of coding mode or of prediction mode between spatial and temporal predictive coding, e.g. picture refresh
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/117—Filters, e.g. for pre-processing or post-processing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/61—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/80—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation
    • H04N19/82—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop

Definitions

  • the present invention relates to the field of image coding processing technologies, and in particular, to a loop filtering method in image coding processing.
  • the compression processing framework of H.264 is shown in Figure 1.
  • the basic processing unit is 16 X 16 macroblocks, which uses multi-frame reference, intra prediction, multi-macroblock mode, 4X4 integer transform and quantization, loop filtering, 1/ 4 pixel motion prediction, CAVLC (context-based variable length coding algorithm) and CABAC (context-based arithmetic coding algorithm) entropy coding and other advanced technologies, its compression efficiency is higher than MPEG-2, H.263, MPEG-4 ASP More than one.
  • China Digital Audio Video Codec Standards Working Group AVS has organized a series of standards similar to the MPEG standard since 2002, including video coding standards, audio coding standards, system standards, digital copyright protection DRM standards, etc.
  • video coding standards including video coding standards, audio coding standards, system standards, digital copyright protection DRM standards, etc.
  • the AVS parti system standard and the AVS part2 video standard were released in December 2003, and the AVS part7 video standard was released in December 2004.
  • the images need to be block-processed, and each block will have block effects in different degrees after transformation and quantization.
  • the block effect is mainly caused by the quantization error caused by the quantization block processing.
  • the block effect has two different expressions depending on the content of the image within the block range, mainly trapezoidal noise and lattice noise. This type of noise will make the edges of the image noticeable and even blocky.
  • the trapezoidal noise appears at the strong edges of the image. Since many high frequency coefficients of the DCT (Discrete Cosine Transform) are quantized to zero, the strong edges cannot be fully digitized in the transform domain, and the continuity of the strong edges passing through the boundary of the coded block cannot be obtained due to the block processing of the image. Guaranteed, so that jagged noise appears at the strong edges of the image, making visually unnatural edges of the data block, Called trapezoidal noise.
  • DCT Discrete Cosine Transform
  • the lattice noise appears in a flat area of the image.
  • the rounding may occur due to quantization rounding, which may result in a transform domain.
  • the DC (direct current) coefficient crosses the decision threshold of the adjacent quantization level, causing a sudden change in the brightness of the adjacent two coded blocks in the reconstructed image, so that the sheet-like contour appears visually, which is called lattice noise.
  • the image needs to be deblocked.
  • post-filtering is commonly used to overcome blockiness.
  • the loop-filter is used to overcome the block effect. Compared with the post-processing filter, the former does not need a special buffer to pre-store the current frame, so the hardware implementation is easier.
  • the loop filter is located in the prediction loop and can directly affect the prediction frame. Therefore, it is possible to reduce the residual coefficient.
  • the corresponding filtering process can be performed - if the blockiness value of one edge of the current filtering process is 2, and the pixel difference of the pixel pair at the boundary of the encoding block is smaller than the value defined in the threshold table, the pairwise filter is used.
  • the pixel values corresponding to the window are averaged to generate two pairs of new pixel values;
  • the difference filtering method is used to increase or decrease the original pixel value by one. The difference, which produces two pairs of new pixel values;
  • an object of the present invention is to provide a loop filtering method in image encoding processing, thereby achieving good deblocking effect in a flat region and adapting to more deblocking occasions. .
  • the present invention provides a loop filtering method in an image encoding process, including:
  • the image real edge judging step determines whether the edge of the encoding block is the real edge of the image according to the pixel difference value of the pixel points on both sides of the encoding block edge and the pixel difference value of the pixel point inside the encoding block;
  • the filtering step when the coding block edge is not the real edge of the image, the coding block is filtered by using a filtering method corresponding to the block effect value of the coding block.
  • the filtering processing method corresponding to the block effect value of 3 is to filter the pixel values by the corresponding filtering window to generate three pairs of new pixel values;
  • the filtering processing method corresponding to the block effect value of 2 is to filter the pixel values by the corresponding filtering window to generate two pairs of new pixel values;
  • the filter processing method corresponding to the block effect value is differential filtering, which generates 2 pairs of new pixel values.
  • the loop filtering implementation method adopted by the present invention can increase the signal-to-noise ratio by about 0.08 db and the code rate by about 1.5%.
  • the loop filtering algorithm provided by the present invention is improved in design for flat region filtering, it has a good effect on the deblocking effect of the flat region.
  • the filtering sequence is extended in the invention, so that the filtering operator is further refined and more suitable for different deblocking occasions.
  • the present invention does not produce a phenomenon of smoothing the real edge for the texture region since the true edge is checked before filtering.
  • the present invention can also implement parallel processing at the macroblock level, that is, it is possible to perform filtering processing on multiple edges simultaneously in the same macroblock.
  • Figure 1 is a schematic diagram of a H.264 compression processing framework
  • Figure 3 is a schematic diagram of a code block boundary
  • Figure 4 is a schematic diagram of the boundary pixel values required for an 8-tap filter on a vertical boundary.
  • the method of the present invention specifically includes the following processing: First, calculate the block effect value strength;
  • Step 21 Calculate the number of similar points in the boundary area of the coding block rmm;
  • the similarity point is a pair of points whose pixel value difference is smaller than the flatness threshold.
  • the flatness threshold can be obtained from the QP average QP a of the two coded blocks.
  • the number of similar points is the sum of the number of similar points on the same side and the two sides of the coding block edge.
  • rmm is calculated by the following formula - 2 ((abs(L n -H withdraw) ⁇ rM)?l:0) + ⁇ (( bs(H n - R soup) ⁇ Th2) ?1:0)
  • abs (A-B) is the absolute value operation of A-B.
  • A-B the same method is adopted, and the three sets of points in the horizontal direction are summed to obtain num.
  • the symbol "?” indicates that the front value is greater than 0, and the A value in A: B is taken, otherwise the B value is taken. .
  • Thl and Th2 are flatness thresholds, and the index of the table index can be calculated according to the QP average QP av of the two blocks.
  • the image is a non-HD or non-standard definition image (such as the horizontal width of the pixel is less than 500 pixels), then -
  • Step 23 Determine whether there is an intra block, and if yes, perform step 24; otherwise, directly execute step 25:
  • Determining whether there is an intra block is specifically as follows: If at least one of the blocks on both sides of the edge of the coding block is in intra coding, it is determined that there is an intra block.
  • Step 24 If there is a code block that is an intra block, add 1 to the corresponding strength, and then go to step 25.
  • the filtering is a smoothing operation, it is possible to smooth the real edges. In order to effectively prevent such operations, it is necessary to make a true and false discrimination for the current edge before filtering.
  • Step 25 Determine whether the current edge is a real edge. If not, go to step 26, otherwise, the process ends.
  • the pixel difference between the pixels on both sides of the edge of the coding block and the pixel difference of the pixel inside the coding block are calculated, and it is determined whether the difference is greater than the corresponding threshold. If it is greater than, the true edge of the image is not required. Filtering, otherwise, determining the edge that needs to be filtered;
  • a preset one-dimensional linear operator In order to determine whether it is a true edge, it is first necessary to calculate the pixel difference value, and specifically, a preset one-dimensional linear operator can be used. Its operation object is a preset one-dimensional window. For example, set a pair of points on both sides of the code block edge, R0 and L0 as shown in Figure 4, and two pairs of points L0 and L1, R0 and Ri o inside the code block.
  • it is also necessary to preset corresponding threshold values, and the specific threshold values are respectively stored in two threshold values, which are assumed to be ⁇ , ⁇ tables, respectively, and the ⁇ table records two pixels on both sides of the code block edge.
  • the threshold of the pixel difference value, the ⁇ table records the threshold of the pixel difference of two pixels inside the coding block, and two one-dimensional arrays are recorded in the two tables.
  • the specific values of the threshold values in the two tables are determined according to the quantization step size QP of the coding block quantization.
  • the array index value of the threshold table is the quantized value plus the offset.
  • the values of the two offsets are all 0.
  • the ⁇ and ⁇ tables can be displayed in array form and list form as follows:
  • Fig. 4 it is illustrated in the horizontal direction: subtracting R0 and L0 to obtain a difference C1; subtracting R1 from R0 to obtain a difference C2; subtracting L1 from L0 to obtain a difference C3; If C1 is smaller than ⁇ , C2 is smaller than ⁇ , and C3 is smaller than ⁇ , it is considered that the characteristic edge of the image is not a real edge, and filtering can be performed; otherwise, no filtering is performed.
  • Step 26 Perform filtering processing according to the block effect value by using a corresponding filtering manner, where: determining whether the block effect value is 0, and if yes, the process ends, because no filtering is needed when the block effect value is 0. Processing, otherwise continue to judge;
  • the block value is 2 and the block value is 3, which is the mean filtering mode, but the number of pairs of pixels processed by the two is different, which will be described in detail below.
  • the mean filtering method used in the present invention is to re-assign a plurality of pairs of pixels at a coding block boundary, and adjust the pixel value by using a window filtering formula, and the corresponding output value is jointly determined by 8 points in FIG. 4; Filtering is an adjustment of four points, which adds or subtracts a difference from the original pixel value, thereby narrowing the gap between the two pixel values, so that the visual block effect is eliminated.
  • the filter operators used in the present invention have three levels, corresponding to three different non-zero block effect values strengt. Since it is an 8X 8 block, the filter window can be extended to an 8-tap filter. As shown in FIG. 4, the corresponding specific operators are described as follows, where L0, L1, L2, L3 and R0, Rl, R2, R3 represent the original reconstructed pixel values of the unfiltered operation, 10, 11, 12, 13 and R0, rl, r2, r3 represent the pixel values after the filtering operation:
  • ⁇ 2 IClip(-C0 5 CO, ( (10—Ll) * 3 + (L2 ⁇ r0) + 4) » 3 ), then after filtering, 11-L1+A2;
  • the (1, 2, 1) and (1, 1, 1) weight coefficient pairs are used for L0;
  • a (1, 1, 1, 1) weight coefficient pair is used for R1 and L1.
  • R1 and L1 can also be filtered as follows to obtain AVS Part 2 compatible filter design, which reduces the implementation complexity of the system:
  • Rl aq? (R2 + Rl + R0 + L0 + 2) » 2 : R1;
  • R0 aq? ((Rl«l) + R2 + ((R0+L0)«1) + LI +4 ) »3 : ( Rl + (R0«l)+L0 + 2)»2 ;
  • Rl aq?(R0 + (Rl«l)+ L0 + 2)»2: R1;
  • Ll ap? ((Ll«l) + L0 + R0 + 2)»2: L1 ;
  • R2 aq? (RO + R1 + (R2«2) + (R3 «l) +4)»3: R2;
  • the (1, 2, 2, 2, 1) and (1, 2, 1) weight coefficient pairs are used; for R1 and L1, (1, 1, 2) and (2, 1, 1 are used respectively. Weight coefficient pairs; (1, 1, 4, 2) and (2, 4, 1, 1) weight coefficient pairs are used for R2 and L2, respectively.
  • the calculation formula of the above filtering process is obtained by querying a filter cut parameter table CLIP-TAB table, first with QP as the index, and the value found in CLIPJTAB is C0, the
  • TAB tables can be represented in array and table form as:
  • the filtering process of the vertical boundary is taken as an example.
  • the filtering window is in the vertical state, but the corresponding filtering operator and the filtering calculation on the vertical boundary.
  • the sub-consistent, the corresponding filtering process is the same, so it will not be detailed.
  • the loop filtering implementation method adopted by the present invention can improve the objective performance.
  • the code rate drops by about 1.5%.
  • the loop filtering algorithm of the present invention uses the number of similar point pairs to determine the block effect value, and the flatness region has high sensitivity to the above-described block effect value determining method, thereby achieving high intensity smoothing of the flat region. Filtering, with better deblocking effect.
  • the filter series is extended to make the filter operator more detailed and more suitable for different deblocking occasions.
  • Parallel processing at the macroblock level can be realized, that is, the filtering processing of multiple edges is simultaneously processed in parallel within the same macroblock.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

La présente invention concerne un procédé de filtrage à boucle destiné à une opération de codage d'image, qui comprend: une étape de détermination de la valeur de l'effet bloc qui permet de déterminer la valeur de l'effet bloc du bloc de codage en fonction du nombre de points identiques à la surface du contour du bloc de codage à filtrer; une étape d'évaluation du véritable contour de l'image qui permet d'évaluer si le contour du bloc de codage est le véritable contour de l'image en fonction de la valeur de la différence de pixel des deux côtés du contour des blocs de codage; une étape de filtrage qui permet de filtrer le bloc de codage selon le mode de filtrage qui correspond à la valeur de l'effet de bloc du bloc de codage lorsque le contour du bloc de codage n'est pas le véritable contour de l'image. A l'aide desdites étapes, le rapport S/N peut augmenter d'environ 0,08 dB, et le débit de code peut être réduit d'environ 1,5 %.
PCT/CN2006/001619 2005-09-19 2006-07-10 Procede de filtrage a boucle destine a une operation de codage d'image Ceased WO2007033551A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN200510106247.2 2005-09-19
CNB2005101062472A CN100438629C (zh) 2005-09-19 2005-09-19 图像编码处理中的环路滤波方法

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CN (1) CN100438629C (fr)
RU (1) RU2370816C1 (fr)
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CN107197256A (zh) * 2011-11-07 2017-09-22 佳能株式会社 用于对图像的序列进行编码和解码的方法和装置
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US10743033B2 (en) 2011-11-07 2020-08-11 Canon Kabushiki Kaisha Method and device for optimizing encoding/decoding of compensation offsets for a set of reconstructed samples of an image
US10771819B2 (en) 2011-11-07 2020-09-08 Canon Kabushiki Kaisha Sample adaptive offset filtering
US11076173B2 (en) 2011-11-07 2021-07-27 Canon Kabushiki Kaisha Method and device for providing compensation offsets for a set of reconstructed samples of an image
CN107197256B (zh) * 2011-11-07 2021-09-21 佳能株式会社 用于对图像的序列进行编码和解码的方法和装置

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