Fast luminance and chrominance correction based on motion compensated linear regression for multi-view video coding.
Journal
Visual Communications and Image Processing 2007, VCIP 2007, San Jose, CA, United States, 28 January - 1 February 2007
Pages
650823
Date Issued
2007
Author(s)
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.
Type
conference paper