A low complexity alf based on inter-channel correlation between chroma and luma in HEVC

Wei Jing Chen, Lei Sun, Lei Gu, Zhen Yu Liu, Takeshi Ikenaga

研究成果: Conference contribution

抄録

The adaptive loop filter (ALF) is a Wiener algorithm based technology which is applied to the reconstructed frame to improve the image quality in high-efficiency video coding (HEVC). In the conventional ALF algorithm, filter coefficients are re-designed for 16 times to obtain the best sets in one frame and also to increase the external memory access and computational cost significantly. This contribution proposes an inter-channel transformation scheme based on the correlation between chroma and luma to alleviate both computing time and memory bandwidth. First, the proposed algorithm generates the cross-correlation matrix and auto-correlation matrix in chroma samples which only spends one-quarter computational costs due to the resolution difference. Then, it applies the inter-channel transformation to derive the filter coefficients. The proposed methods not only eliminate a large number of multiplication operations, but also reduce the run-time by 58.70% averagely during whole ALF encoding process, while a negligible loss 0.074 BD-PSNR in the Y component.

本文言語English
ホスト出版物のタイトルProceedings of the IASTED International Conference on Signal and Image Processing, SIP 2012
ページ175-180
ページ数6
DOI
出版ステータスPublished - 2012 12 1
イベント14th IASTED International Conference on Signal and Image Processing, SIP 2012 - Honolulu, HI, United States
継続期間: 2012 8 202012 8 22

出版物シリーズ

名前Proceedings of the IASTED International Conference on Signal and Image Processing, SIP 2012

Conference

Conference14th IASTED International Conference on Signal and Image Processing, SIP 2012
CountryUnited States
CityHonolulu, HI
Period12/8/2012/8/22

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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