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 language | English |
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Title of host publication | 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 9786163618238 |
DOIs | |
Publication status | Published - 2014 Feb 12 |
Event | 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand Duration: 2014 Dec 9 → 2014 Dec 12 |
Other
Other | 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 |
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Country/Territory | Thailand |
City | Chiang Mai |
Period | 14/12/9 → 14/12/12 |
ASJC Scopus subject areas
- Signal Processing
- Information Systems