Low complexity SAO in HEVC base on class combination, pre-decision and merge separation

Gaoxing Chen, Zhenyu Pei, Zhenyu Liu, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

High efficiency video coding (HEVC) is the most recent video compression standard that doubled the coding efficiency as compared to the predecessor H.264/AVC. HEVC adopts sample adaptive offset (SAO) right after deblock filtering process. According to the intensity and the edge property, the encoder classifies the reconstructed pixels into different categories, and assigns one offset for each category of pixels. This paper proposes class combination, pre-decision and merge separation to decrease the sao processing time. Class combination combines the four edge offset (EO) type into one. Pre-decision decreases the band offset (BO) search time from 29 to 4. Merge separation limits the merge range to saving the efficiency loss. Experimental result shows the proposed methods can saving about 38% SAO processing time with little degradation (BD-bitrate increased by 0.16% and ΔPSNR decreased by 0.001) in terms of coding gain.

Original languageEnglish
Title of host publicationInternational Conference on Digital Signal Processing, DSP
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages259-262
Number of pages4
Volume2014-January
ISBN (Print)9781479946129
DOIs
Publication statusPublished - 2014
Event2014 19th International Conference on Digital Signal Processing, DSP 2014 - Hong Kong, Hong Kong
Duration: 2014 Aug 202014 Aug 23

Other

Other2014 19th International Conference on Digital Signal Processing, DSP 2014
CountryHong Kong
CityHong Kong
Period14/8/2014/8/23

Keywords

  • Class combination
  • HEVC
  • Merge separation
  • Pre-decision
  • Sample adaptive offset

ASJC Scopus subject areas

  • Signal Processing

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  • Cite this

    Chen, G., Pei, Z., Liu, Z., & Ikenaga, T. (2014). Low complexity SAO in HEVC base on class combination, pre-decision and merge separation. In International Conference on Digital Signal Processing, DSP (Vol. 2014-January, pp. 259-262). [6900840] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2014.6900840