Hardware oriented category pre-determination algorithm for SAO in HEVC

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 classifies reconstructed pixels into different categories. During the pixel classification, however, SAO cannot use the raw samples in the current code-tree-block (CTB) boundary 4 × 4-blocks because these pixels need to be processed by deblocking filter first, which poses the problem for hardware design. This paper proposes hardware oriented category pre-determination algorithm which estimates the deblocking strengthens on CTB boundaries and selects the promising samples in these areas during SAO classification. Compared with HEVC test mode (HM12.0), experiment results illustrate that the proposed method achieves the average 0.1% BD-bitrate (BDBR) reduction, or equivalently 0.008 db PSNR increasing.

Original languageEnglish
Title of host publication2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9786163618238
DOIs
Publication statusPublished - 2014 Feb 12
Event2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
Duration: 2014 Dec 92014 Dec 12

Other

Other2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
CountryThailand
CityChiang Mai
Period14/12/914/12/12

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems

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