Block-based color correction algorithm for multi-view video coding

Authors:
Boxin Shi;Yangxi Li;Lin Liu;Chao Xu
Affiliations:
Key Laboratory of Machine Perception, Ministry of Education, Peking University;Key Laboratory of Machine Perception, Ministry of Education, Peking University;Key Laboratory of Machine Perception, Ministry of Education, Peking University;Key Laboratory of Machine Perception, Ministry of Education, Peking University
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

The color variations among different viewpoints in multiview video sequences may deteriorate the visual quality and coding efficiency. Various color correction methods have been proposed, however, the color appearance and histogram of corrected target frames are not similar enough to the reference frames in details. Focusing on restoring more similar color, a block-based color correction algorithm is proposed. The blocks in reference frames are matched into target frames through spatial prediction, and the colorization scheme is then adopted to expand color as a coarse correction. Finally the mixture with global color transfer result yields the fine correction. The experiment results show this novel method can provide better visual effect in detail and also provide the corrected frames with histograms more similar to reference histograms.