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초록
A low complexity weighted two-bit transforms (2BT) based multiple candidates motion estimation algorithm is proposed in this paper. By exploiting almost the identical operations in two different matching error criteria, we can efficiently determine two best motion vectors according to the respective matching criteria and can enhance the overall motion estimation accuracy. Experimental results show that the proposed algorithm achieves peak-to-peak signal-to-noise ratio (PSNR) gains about 0.47dB on average compared with the conventional 2BT-based motion estimation.
키워드
Block matching; Full-search; Motion estimation; Two-bit transform; Block Matching; Full-search; Low complexity; Matching error; Motion estimation algorithm; Motion Vectors; Peak signal-to-noise ratio; Redundant computation; Two-bit transform; Two-bit transform(2BT); Color image processing; Computer graphics; Estimation; Motion compensation; Signal to noise ratio; Visualization; Motion estimation
- 제목
- Low complexity weighted two-bit transforms based multiple candidates motion estimation exploiting the redundant computations
- 저자
- Choi, Changryoul; Jeong, Jechang
- 발행일
- 2010-09
- 유형
- Conference Paper
- 저널명
- Proceedings - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010
- 페이지
- 101 ~ 104