IEICE TRANSACTIONS on Fundamentals
Hardware Oriented Enhanced Category Determination Based on CTU Boundary Deblocking Strength Prediction for SAO in HEVC Encoder
Summary :
High efficiency video coding (HEVC) is a video compression standard that outperforms the predecessor H.264/AVC by doubling the compression efficiency. To enhance the coding accuracy, HEVC adopts sample adaptive offset (SAO), which reduces the distortion of reconstructed pixels using classification based non-linear filtering. In the traditional coding tree unit (CTU) grain based VLSI encoder implementation, during the pixel classification stage, SAO cannot use the raw samples in the boundary of the current CTU because these pixels have not been processed by deblocking filter (DF). This paper proposes a hardware-oriented category determination algorithm based on estimating the deblocking strengths on CTU boundaries and selectively adopting the promising samples in these areas during SAO classification. Compared with HEVC test mode (HM11.0), experimental results indicate that the proposed method achieves an average 0.13%, 0.14%, and 0.12% BD-bitrate reduction (equivalent to 0.0055dB, 0.0058dB, and 0.0097dB increases in PSNR) in CTU sizes of 64 × 64, 32 × 32, and 16 × 16, respectively.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.4 pp.788-797
- Publication Date
- 2016/04/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.788
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
Authors
Gaoxing CHEN
Waseda University
Zhenyu PEI
Waseda University
Zhenyu LIU
Tsinghua University
Takeshi IKENAGA
Waseda University
Keyword
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Gaoxing CHEN, Zhenyu PEI, Zhenyu LIU, Takeshi IKENAGA, "Hardware Oriented Enhanced Category Determination Based on CTU Boundary Deblocking Strength Prediction for SAO in HEVC Encoder" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 4, pp. 788-797, April 2016, doi: 10.1587/transfun.E99.A.788.
Abstract: High efficiency video coding (HEVC) is a video compression standard that outperforms the predecessor H.264/AVC by doubling the compression efficiency. To enhance the coding accuracy, HEVC adopts sample adaptive offset (SAO), which reduces the distortion of reconstructed pixels using classification based non-linear filtering. In the traditional coding tree unit (CTU) grain based VLSI encoder implementation, during the pixel classification stage, SAO cannot use the raw samples in the boundary of the current CTU because these pixels have not been processed by deblocking filter (DF). This paper proposes a hardware-oriented category determination algorithm based on estimating the deblocking strengths on CTU boundaries and selectively adopting the promising samples in these areas during SAO classification. Compared with HEVC test mode (HM11.0), experimental results indicate that the proposed method achieves an average 0.13%, 0.14%, and 0.12% BD-bitrate reduction (equivalent to 0.0055dB, 0.0058dB, and 0.0097dB increases in PSNR) in CTU sizes of 64 × 64, 32 × 32, and 16 × 16, respectively.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.788/_p
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@ARTICLE{e99-a_4_788,
author={Gaoxing CHEN, Zhenyu PEI, Zhenyu LIU, Takeshi IKENAGA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Hardware Oriented Enhanced Category Determination Based on CTU Boundary Deblocking Strength Prediction for SAO in HEVC Encoder},
year={2016},
volume={E99-A},
number={4},
pages={788-797},
abstract={High efficiency video coding (HEVC) is a video compression standard that outperforms the predecessor H.264/AVC by doubling the compression efficiency. To enhance the coding accuracy, HEVC adopts sample adaptive offset (SAO), which reduces the distortion of reconstructed pixels using classification based non-linear filtering. In the traditional coding tree unit (CTU) grain based VLSI encoder implementation, during the pixel classification stage, SAO cannot use the raw samples in the boundary of the current CTU because these pixels have not been processed by deblocking filter (DF). This paper proposes a hardware-oriented category determination algorithm based on estimating the deblocking strengths on CTU boundaries and selectively adopting the promising samples in these areas during SAO classification. Compared with HEVC test mode (HM11.0), experimental results indicate that the proposed method achieves an average 0.13%, 0.14%, and 0.12% BD-bitrate reduction (equivalent to 0.0055dB, 0.0058dB, and 0.0097dB increases in PSNR) in CTU sizes of 64 × 64, 32 × 32, and 16 × 16, respectively.},
keywords={},
doi={10.1587/transfun.E99.A.788},
ISSN={1745-1337},
month={April},}
Copy
TY - JOUR
TI - Hardware Oriented Enhanced Category Determination Based on CTU Boundary Deblocking Strength Prediction for SAO in HEVC Encoder
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 788
EP - 797
AU - Gaoxing CHEN
AU - Zhenyu PEI
AU - Zhenyu LIU
AU - Takeshi IKENAGA
PY - 2016
DO - 10.1587/transfun.E99.A.788
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2016
AB - High efficiency video coding (HEVC) is a video compression standard that outperforms the predecessor H.264/AVC by doubling the compression efficiency. To enhance the coding accuracy, HEVC adopts sample adaptive offset (SAO), which reduces the distortion of reconstructed pixels using classification based non-linear filtering. In the traditional coding tree unit (CTU) grain based VLSI encoder implementation, during the pixel classification stage, SAO cannot use the raw samples in the boundary of the current CTU because these pixels have not been processed by deblocking filter (DF). This paper proposes a hardware-oriented category determination algorithm based on estimating the deblocking strengths on CTU boundaries and selectively adopting the promising samples in these areas during SAO classification. Compared with HEVC test mode (HM11.0), experimental results indicate that the proposed method achieves an average 0.13%, 0.14%, and 0.12% BD-bitrate reduction (equivalent to 0.0055dB, 0.0058dB, and 0.0097dB increases in PSNR) in CTU sizes of 64 × 64, 32 × 32, and 16 × 16, respectively.
ER -
English
