Real-time demosaicking method based on mixed color channel correlation
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In this paper, we proposed a new demosaicking method based on mixed color channel correlation. Different from conventional interpolation methods based on only two or four directions, the proposed method exploits the mixed color channel correlation within the local sliding window to improve the interpolation performance. The principle idea of our proposed method is based on the correlation of spatial closeness and spectral similarity between the high and low-resolution of the raw color filter array (CFA) image. By using geometric duality of Bayer CFA pattern, a robust interpolation model is proposed with optimal interpolation coefficients. We also proposed an efficiency promotion method by considering the local image texture complexity for real-time imaging system. As compared with the latest demosaicking algorithms, experiments show that the proposed algorithm provides superior performance in terms of both objective and subjective image qualities.
KeywordsColor filter array (CFA) interpolation Demosaicking Geometric duality Color difference Color covariance Bayer CFA Pattern
This research was supported by Post-Doctor Research Program (2015) through the Incheon National University (INU), Incheon, South Korea.
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