10 December 2015 Automatic color correction: region-based approach and performance evaluation using full reference metrics
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Abstract
We propose a solution for automatic color correction between two images/videos based on region correspondences. It starts with image segmentation by marker-controlled watershed transformation, which is faster and produces more uniform regions with better adherence to object boundaries than the segmentation in previous color correction approaches. Then regions between two images are matched using point feature correspondences, which are invariant to geometric transformation and illumination change. Finally, the color-distorted image is corrected using the color statistics of corresponding regions and the color transfer functions weighted by influence masks. We demonstrate the experimental results using several data sets and evaluate the color correction by different measures of image similarity.
© 2015 SPIE and IS&T
Dieu Sang Ly, Dieu Sang Ly, Serge Beucher, Serge Beucher, Michel Bilodeau, Michel Bilodeau, Stelian Persa, Stelian Persa, Klaas Jan Damstra, Klaas Jan Damstra, Robert Pot, Robert Pot, Jan Van Rooy, Jan Van Rooy, } "Automatic color correction: region-based approach and performance evaluation using full reference metrics," Journal of Electronic Imaging 24(6), 061207 (10 December 2015). https://doi.org/10.1117/1.JEI.24.6.061207 . Submission:
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