Aliasing error reduction based fast VBSME algorithm

Qin Liu, Yiqing Huang, Satoshi Goto, Takeshi Ikenaga

研究成果: Conference contribution

抄録

Mathematical analysis reveals that high frequency signal components are the main issues that make MRF algorithm essential. Moreover, the aliasing problem of subsampling algorithm also comes from high frequency signal components. So based on these mathematical investigations, two fast VBSME algorithms are proposed in this paper, namely roberts cross edge detector based subsampling method and motion vector based MRF early termination algorithm. Experiments show that strong correlation exists among the motion vectors of those blocks belonging to the same macroblock. Through exploiting this feature, a dynamically adjustment of the search ranges of integer motion estimation is proposed in this paper. Combing our proposed algorithms with UMHS almost saves 96%-98% Integer Motion Estimation (IME) time compared to the exhaustive search algorithm the induced coding quality loss is less than 0.8% bitrate increase or 0.04 db PSNR decline on average.

本文言語English
ホスト出版物のタイトルProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
ページ85-89
ページ数5
DOI
出版ステータスPublished - 2008 9 25
イベント1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China
継続期間: 2008 5 272008 5 30

出版物シリーズ

名前Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
3

Conference

Conference1st International Congress on Image and Signal Processing, CISP 2008
CountryChina
CitySanya, Hainan
Period08/5/2708/5/30

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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