Fast luminance and chrominance correction based on motion compensated linear regression for multi-view video coding

Wei-Yin Chen; Li-Fu Ding; Liang-Gee Chen

doi:10.1117/12.703504

29 January 2007 Fast luminance and chrominance correction based on motion compensated linear regression for multi-view video coding

Wei-Yin Chen, Li-Fu Ding, Liang-Gee Chen

Author Affiliations +

Proceedings Volume 6508, Visual Communications and Image Processing 2007; 650823 (2007) https://doi.org/10.1117/12.703504
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Wei-Yin Chen, Li-Fu Ding, and Liang-Gee Chen "Fast luminance and chrominance correction based on motion compensated linear regression for multi-view video coding", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 650823 (29 January 2007); https://doi.org/10.1117/12.703504

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