Color compensation using nonlinear luminance-RGB component curve of a camera

Sejung Yang, Yoon Ah Kim, Chaerin Kang, Byung Uk Lee

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Many color image processing methods employ gray scale image algorithms first and then apply color mapping afterwards. Most popular gamut mapping techniques are hue-preserving methods such as shifting or scaling of color components. However, those methods result in unnatural modification of color saturation. In this paper, we propose a novel color mapping method based on nonlinear luminance-RGB component characteristic curves of a camera taking the image. We obtain an accurate color value after luminance enhancement using luminance-RGB curves of the camera. All experiments demonstrate that our algorithm is effective and suitable to be embedded in a camera because of its simplicity and accuracy in color enhancement of digital images.

Original languageEnglish
Pages (from-to)617-626
Number of pages10
JournalLecture Notes in Computer Science
Volume6939 LNCS
Issue numberPART 2
StatePublished - 2011
Event7th International Symposium on Visual Computing, ISVC 2011 - Las Vegas, NV, United States
Duration: 26 Sep 201128 Sep 2011


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