Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder

Gaoxing Chen; Zhenyu Pei; Zhenyu Liu; Takeshi Ikenaga

doi:10.1109/VCIP.2015.7457874

Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder

Gaoxing Chen, Zhenyu Pei, Zhenyu Liu, Takeshi Ikenaga

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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) 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 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 0.15% BD-bitrate reduction (equivalent to 0.0084 dB increases in P-SNR).

Original language	English
Title of host publication	2015 Visual Communications and Image Processing, VCIP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467373142
DOIs	https://doi.org/10.1109/VCIP.2015.7457874
Publication status	Published - 2016 Apr 21
Event	Visual Communications and Image Processing, VCIP 2015 - Singapore, Singapore Duration: 2015 Dec 13 → 2015 Dec 16

Other

Other	Visual Communications and Image Processing, VCIP 2015
Country	Singapore
City	Singapore
Period	15/12/13 → 15/12/16

Keywords

Category determination
deblocking Strength
HEVC
pixel adoption
Sample Adaptive Offset

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing

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Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder. / Chen, Gaoxing; Pei, Zhenyu; Liu, Zhenyu; Ikenaga, Takeshi.

2015 Visual Communications and Image Processing, VCIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7457874.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, G, Pei, Z, Liu, Z & Ikenaga, T 2016, Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder. in 2015 Visual Communications and Image Processing, VCIP 2015., 7457874, Institute of Electrical and Electronics Engineers Inc., Visual Communications and Image Processing, VCIP 2015, Singapore, Singapore, 15/12/13. https://doi.org/10.1109/VCIP.2015.7457874

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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) 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 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 0.15% BD-bitrate reduction (equivalent to 0.0084 dB increases in P-SNR).",

keywords = "Category determination, deblocking Strength, HEVC, pixel adoption, Sample Adaptive Offset",

author = "Gaoxing Chen and Zhenyu Pei and Zhenyu Liu and Takeshi Ikenaga",

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AU - Chen, Gaoxing

AU - Pei, Zhenyu

AU - Liu, Zhenyu

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PY - 2016/4/21

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N2 - 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) 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 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 0.15% BD-bitrate reduction (equivalent to 0.0084 dB increases in P-SNR).

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) 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 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 0.15% BD-bitrate reduction (equivalent to 0.0084 dB increases in P-SNR).

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KW - deblocking Strength

KW - HEVC

KW - pixel adoption

KW - Sample Adaptive Offset

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Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder

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