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Journal of Electronic Imaging

Automatic color correction: region-based approach and performance evaluation using full reference metrics
Author(s): Dieu Sang Ly; Serge Beucher; Michel Bilodeau; Stelian Persa; Klaas Jan Damstra; Robert Pot; Jan Van Rooy
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Paper 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.

Paper Details

Date Published: 10 December 2015
PDF: 9 pages
J. Electron. Imaging. 24(6) 061207 doi: 10.1117/1.JEI.24.6.061207
Published in: Journal of Electronic Imaging Volume 24, Issue 6
Show Author Affiliations
Dieu Sang Ly, Mines ParisTech (France)
Serge Beucher, Mines ParisTech (France)
Michel Bilodeau, Mines ParisTech (France)
Stelian Persa, Grass Valley Nederland B.V. (The Netherlands)
Klaas Jan Damstra, Grass Valley Nederland B.V. (The Netherlands)
Robert Pot, Grass Valley Nederland B.V. (The Netherlands)
Jan Van Rooy, Grass Valley Nederland B.V. (The Netherlands)


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