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 | |
| 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 |
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Keywords
- Category determination
- deblocking Strength
- HEVC
- pixel adoption
- Sample Adaptive Offset
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
Cite this
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
}
TY - GEN
T1 - Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder
AU - Chen, Gaoxing
AU - Pei, Zhenyu
AU - Liu, Zhenyu
AU - Ikenaga, Takeshi
PY - 2016/4/21
Y1 - 2016/4/21
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).
KW - Category determination
KW - deblocking Strength
KW - HEVC
KW - pixel adoption
KW - Sample Adaptive Offset
UR - http://www.scopus.com/inward/record.url?scp=84978984491&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978984491&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2015.7457874
DO - 10.1109/VCIP.2015.7457874
M3 - Conference contribution
AN - SCOPUS:84978984491
BT - 2015 Visual Communications and Image Processing, VCIP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -