Special Section on Ultrawide Context- and Content-Aware Imaging Part II

Automatic color correction: region-based approach and performance evaluation using full reference metrics

[+] Author Affiliations
Dieu Sang Ly, Serge Beucher, Michel Bilodeau

MINES ParisTech, PSL–Research University, Centre for Mathematical Morphology, 35 rue St. Honoré, 77300 Fontainebleau, France

Stelian Persa, Klaas Jan Damstra, Robert Pot, Jan Van Rooy

Grass Valley, Kapittelweg 10, 4827HG Breda, The Netherlands

J. Electron. Imaging. 24(6), 061207 (Dec 10, 2015). doi:10.1117/1.JEI.24.6.061207
History: Received May 1, 2015; Accepted November 5, 2015
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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.

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Citation

Dieu Sang Ly ; Serge Beucher ; Michel Bilodeau ; Stelian Persa ; Klaas Jan Damstra, et al.
"Automatic color correction: region-based approach and performance evaluation using full reference metrics", J. Electron. Imaging. 24(6), 061207 (Dec 10, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.6.061207


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