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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.