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

Gaoxing Chen, Zhenyu Pei, Zhenyu Liu, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2015 Visual Communications and Image Processing, VCIP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467373142
DOIs
Publication statusPublished - 2016 Apr 21
EventVisual Communications and Image Processing, VCIP 2015 - Singapore, Singapore
Duration: 2015 Dec 132015 Dec 16

Other

OtherVisual Communications and Image Processing, VCIP 2015
CountrySingapore
CitySingapore
Period15/12/1315/12/16

Fingerprint

Image coding
Pixels
Nonlinear filtering
Image compression

Keywords

  • Category determination
  • deblocking Strength
  • HEVC
  • pixel adoption
  • Sample Adaptive Offset

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

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.. https://doi.org/10.1109/VCIP.2015.7457874

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 proceedingConference 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
Chen G, Pei Z, Liu Z, Ikenaga T. Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder. In 2015 Visual Communications and Image Processing, VCIP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7457874 https://doi.org/10.1109/VCIP.2015.7457874
Chen, Gaoxing ; Pei, Zhenyu ; Liu, Zhenyu ; Ikenaga, Takeshi. / Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder. 2015 Visual Communications and Image Processing, VCIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016.
@inproceedings{e03c27c996da483486102249b6ea7532,
title = "Deblocking strength prediction based CTU-level SAO category determination in HEVC encoder",
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",
year = "2016",
month = "4",
day = "21",
doi = "10.1109/VCIP.2015.7457874",
language = "English",
booktitle = "2015 Visual Communications and Image Processing, VCIP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

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 -