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Proceedings Paper

Fast luminance and chrominance correction based on motion compensated linear regression for multi-view video coding
Author(s): Wei-Yin Chen; Li-Fu Ding; Liang-Gee Chen
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Paper Abstract

Luminance and chrominance correction (LCC) is important in multi-view video coding (MVC) because it provides better rate-distortion performance when encoding video sequences captured by ill-calibrated multi-view cameras. This paper presents a robust and fast LCC algorithm based on motion compensated linear regression which reuses the motion information from the encoder. We adopt the linear weighted prediction model in H.264/AVC as our LCC model. In our experiments, the proposed LCC algorithm outperforms basic histogram matching method up to 0.4dB with only few computational overhead and zero external memory bandwidth. So, the dataflow of this method is suitable for low bandwidth/low power VLSI design for future multi-view applications.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 650823 (29 January 2007); doi: 10.1117/12.703504
Show Author Affiliations
Wei-Yin Chen, National Taiwan Univ. (Taiwan)
Li-Fu Ding, National Taiwan Univ. (Taiwan)
Liang-Gee Chen, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)

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