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IEEE International Conference on Image Processing (ICIP)

作者： Lim, Wang-Q Pfaff, Jonathan Stallenberger, Bjoern Erfurt, Johannes Schwarz, Heiko Marpe, Detlev Wiegand, Thomas Fraunhofer Heinrich Hertz Inst HHI Video Coding & Analyt Dept Berlin Germany Free Univ Berlin Inst Comp Sci Berlin Germany Tech Univ Berlin Dept Telecommun Syst Berlin Germany

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

In this paper, a data-driven generalization of the adaptive loop filter (ALF) of Versatile Video Coding (VVC) is presented. It is shown how the conventional ALF process of classification and FIR filtering can be generalized to define a natural model architecture for convolutional neural network (CNN) based in-loop filters. Experimental results show that over VVC, average bit-rate savings of 3.85%/4.75% and 4.39%/4.33% can be achieved for the all intra and random access configurations in the low- and high-QP settings.

关键词： adaptive loop filter convolutional neural network classification Wiener filtering

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adaptive loop filter technology based on analytical design considering local image

Adaptive loop filter technology based on analytical design c...

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18th IEEE International Conference on Image Processing (ICIP)

作者： Yoshino, Tomonobu Naito, Sei KDDI R and D Laboratories Inc. United States

ISBN: (纸本)9781457713033

Based on Wiener algorithm, the adaptive loop filter (ALF) technology is applied to minimize coding distortion over a frame. As the ALF is designed based on the Wiener algorithm, coding performance can be improved by spatially adaptive selection of filter coefficients dependent on a local image feature. However, since the conventional ALF approaches designed only a single set of frame basis filter coefficients, the filter coefficients are not necessarily optimal to achieve the significant coding gain. As the conventional work, the modified adaptive loop filter approach that employs the segmentation pattern has been proposed. This approach divides the current frame into a few segments based on the structure of image texture, and the filter coefficients are determined for each segment type. Although 14 candidates are defined as available segmentation modes, further improvement can be expected because such segmentation can not handle the complicated combination of various texture characteristics within a video frame. From this perspective, we propose an enhanced ALF approach based on spatially adaptive control of filter design dependent on the texture property of the local image region. Experimental results show that the bit reduction performance is improved by 1.6 points in the maximum case against the conventional scheme. Furthermore, the proposed scheme contributes to improving the subjective picture quality.

关键词： compression technology adaptive loop filter 8K UHDTV

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adaptive loop filter Technique for 3D-HEVC Standard

Adaptive Loop Filter Technique for 3D-HEVC Standard

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International Conference on Computational Science and Computational Intelligence (CSCI)

作者： Amiri, Delaram El-Sharkawy, Mohamed King, Brian IUPUI Dept Elect & Comp Engn Indianapolis IN 46202 USA

ISBN: (纸本)9781467397957

This paper proposes the use of adaptive loop filtering (ALF) technique for 3D-HEVC standard in-loop filtering. This filter uses Wiener-based method to minimize the Mean Squared Error between filtered pixel and original pixels. Performance of adaptive loop filter in picture based level is evaluated. Test model HTM- 6.2 is used to demonstrate the results. Results show up to of 0.2 dB PSNR improvement in Luminance component for the texture and 2.1 dB for the depth. In addition, up to 0.1 dB improvement in Chrominance component for the texture view after applying this filter in picture based filtering.

关键词： adaptive loop filter HEVC

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adaptive loop filter with Directional Features and Similarity Mapping for Video Coding

Adaptive Loop Filter with Directional Features and Similarit...

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Conference on Visual Information Processing and Communication III

作者： Lai, PoLin Fernandes, Felix C. A. Samsung Telecommun Amer Dallas Technol Lab Richardson TX 75082 USA

ISBN: (纸本)9780819489524

To improve both coding efficiency and visual quality of video coding, in this paper, we present an adaptive loop filtering design which exploits local directional characteristics exhibit in the video content. The design combines linear spatial filtering and directional filtering with a similarity mapping function. We compute and compare multiple simple directional features to classify blocks in a video frame into classes with different dominant orientations. Each class of blocks adapt to a directional filter, with symmetric constraints imposed on the filter coefficients according to the dominant orientation determined by the classification. To emphasis pixel similarity for explicit adaptation to edges, we use a simple hard-threshold mapping function to avoid artifacts arising from across-edge filtering. Our design uses only 4 filers per frame with fixed 7x7 diamond-shaped filter support, while achieving better coding efficiency and improved visual quality especially along edges, as compared to other approaches using up to 16 filters with up to 7 vertical x 9 horizontal diamond-shaped filter support.

关键词： adaptive loop filter directional filter directional classification de-noising video coding

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adaptive loop filter with Temporal Prediction

Adaptive Loop Filter with Temporal Prediction

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29th Picture Coding Symposium (PCS)

作者： Zhang, Xinfeng Xiong, Ruiqin Ma, Siwei Gao, Wen Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China Chinese Acad Sci Grad Univ Beijing 100049 Peoples R China Peking Univ Inst Digital Media Beijing 100871 Peoples R China

ISBN: (纸本)9781457720482

In this paper, we propose a method to improve adaptive loop filter (ALF) efficiency with temporal prediction. For one frame, two sets of adaptive loop filter parameters are adaptively selected by rate distortion optimization. The first set of ALF parameters is estimated by minimizing the mean square error between the original frame and the current reconstructed frame. The second set of filter parameters is the one that is used in the latest prior frame. The proposed algorithm is implemented in HM3.0 software. Compared with the HM3.0 anchor, the proposed method achieves 0.4%, 0.3% and 0.3% BD bitrate reduction in average for high efficiency low delay B, high efficiency low delay P and high efficiency random access configuration, respectively. The encoding and decoding time increase by 1% and 2% on average, respectively.

关键词： adaptive loop filter HEVC video coding temporal prediction

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Enhanced adaptive loop filter for Motion Compensated Frame

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IEEE TRANSACTIONS ON IMAGE PROCESSING 2011年第8期20卷 2177-2188页

作者： Yoo, Young-Joe Seo, Chan-Won Han, Jong-Ki Nguyen, Truong Q. Sejong Univ Dept Informat & Commun Engn Seoul South Korea Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

We propose an adaptive loop filter to remove the redundancy between current and motion compensated frames so that the residual signal is minimized, thus coding efficiency increases. The loop filter coefficients and offset are optimized for each frame or a set of blocks to minimize the total energy of the residual signal resulting from motion estimation and compensation. The optimized loop filter with offset is applied for the set of blocks where the filtering process gives coding gain based upon rate-distortion cost. The proposed loop filter is used for the motion compensated frame whereas the conventional adaptive interpolation filter (AIF) is applied to the reference frames to interpolate the subpixel values. Another conventional scheme adaptive loop filter (ALF), is used after deblocking filtering to enhance quality of reconstructed frames, not to minimize energy of residual signal. The proposed loop filter can be used in combination with the AIF and ALF. Experimental results show that proposed algorithm provides the averaged bit reduction of 8% compared to conventional H.264/AVC scheme. When the proposed scheme is combined with AIF and ALF, the coding gain increases even further.

关键词： adaptive loop filter inter coding motion compensation

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Enhanced Block-Based adaptive loop filter with Multiple Symmetric Structures for Video Coding

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ETRI JOURNAL 2010年第4期32卷 626-629页

作者： Lee, Hahyun Lim, Sung-Chang Choi, Haechul Jeong, Seyoon Kim, Jongho Choi, Jin Soo ETRI Broadcasting & Telecommun Convergence Res Lab Taejon South Korea

In this letter;we present an enhanced block-based adaptive loop filter (E-BALF) with multiple filter symmetric structures. The E-BALF adapts various filter symmetric structures in a rate-distortion optimization sense, reflecting the statistical properties of each image in a video sequence. Experimental results show that the proposed method achieves a reduction in the Bjontegaard delta (BD)-bitrate by an average of 9.60% compared with Joint Model 11.0 of H.264/AVC. Compared to the state-of-the-art BALE a reduction of up to 1.13% in BD-bitrate is achieved.

关键词： Wiener filter adaptive loop filter

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The adaptive loop filter Design Based on AVS Standard

The Adaptive Loop Filter Design Based on AVS Standard

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2nd ISECS International Colloquium on Computing, Communication, Control and Management (CCCM 2009)

作者： Yi, Qingming Zhang, Chao JiNan Univ Dept Elect Engn Guangzhou 510632 Guangdong Peoples R China

ISBN: (纸本)9781424442461

A new implementation scheme of adaptive loop filter based on AVS standard is proposed in this paper. A state machine is adopted to control data processing, the state shift mode is automatically determined according to different filtering modes, and then adaptive processing will be carried out without fixed period filtering for all the data. At the same time, the time sequence of matrix row and column transposing is also optimized, so that the row and column transposing cycles could be shortend. The wave simulation shows that the proposed scheme can reduce the clock cycles to implement loop filtering over a whole macro-block and meet the demands for real-time and high definition decoding.

关键词： adaptive loop filter AVS Standard optimization

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Performance-Complexity Analysis of adaptive loop filter with a CNN-based Classification

Performance-Complexity Analysis of Adaptive Loop Filter with...

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Picture Coding Symposium (PCS)

作者： Lim, Wang-Q Stallenberger, Bjoern Pfaff, Jonathan Schwarz, Heiko Marpe, Detlev Wiegand, Thomas Fraunhofer Heinrich Hertz Inst HHI Video Coding & Analyt Dept Berlin Germany Free Univ Berlin Inst Comp Sci Berlin Germany Tech Univ Berlin Dept Telecommun Syst Berlin Germany

ISBN: (纸本)9781665492577

Recently, convolutional neural network (CNN)based in-loop filters have been introduced for video coding and they show huge coding gains. However, one of the main issues of this approach is the high computational complexity of these filters. In this paper, we present various settings for CNN-based in-loop filters targeting on the reduction of their decoder complexity and describe the corresponding gain-complexity trade-offs. For this, we introduce an effective complexity measure and show that it is possible to notably reduce this value for some CNN-based in-loop filters while keeping the compression gain over Versatile Video Coding (VVC).

关键词： adaptive loop filter convolutional neural network classification Wiener filtering complexity

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Optimized adaptive loop filter in Versatile Video Coding

Optimized Adaptive Loop Filter in Versatile Video Coding

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Data Compression Conference (DCC)

作者： Meng, Xuewei Zhang, Jiaqi Jia, Chuanmin Zhang, Xinfeng Wang, Shanshe Ma, Siwei Peking Univ Inst Digital Media Beijing 100871 Peoples R China Univ Chinese Acad Sci Beijing 100190 Peoples R China

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