抄録
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).
本文言語 | English |
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ホスト出版物のタイトル | 2015 Visual Communications and Image Processing, VCIP 2015 |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(電子版) | 9781467373142 |
DOI | |
出版ステータス | Published - 2016 4月 21 |
イベント | Visual Communications and Image Processing, VCIP 2015 - Singapore, Singapore 継続期間: 2015 12月 13 → 2015 12月 16 |
Other
Other | Visual Communications and Image Processing, VCIP 2015 |
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国/地域 | Singapore |
City | Singapore |
Period | 15/12/13 → 15/12/16 |
ASJC Scopus subject areas
- コンピュータ ネットワークおよび通信
- 信号処理