Color harmonization
Daniel Cohen-Or, Olga Sorkine, Ran Gal, Tommer Leyvand, Ying-Qing Xu
In ACM Transactions on Graphics, 25(3), July 2006.
Abstract: Harmonic colors are sets of colors that are aesthetically pleasing in terms of human visual perception. In this paper, we present a method that enhances the harmony among the colors of a given photograph or of a general image, while remaining faithful, as much as possible, to the original colors. Given a color image, our method finds the best harmonic scheme for the image colors. It then allows a graceful shifting of hue values so as to fit the harmonic scheme while considering spatial coherence among colors of neighboring pixels using an optimization technique. The results demonstrate that our method is capable of automatically enhancing the color "look-and-feel" of an ordinary image. In particular, we show the results of harmonizing the background image to accommodate the colors of a foreground image, or the foreground with respect to the background, in a cut-and-paste setting. Our color harmonization technique proves to be useful in adjusting the colors of an image composed of several parts taken from different sources.
Keyword(s): color harmonization, computational aesthetics, cut-and-paste, image enhancement
@article{Cohen-Or:2006:CH,
author = {Daniel Cohen-Or and Olga Sorkine and Ran Gal and Tommer Leyvand and Ying-Qing Xu},
title = {Color harmonization},
journal = {ACM Transactions on Graphics},
volume = {25},
number = {3},
pages = {624--630},
month = jul,
year = {2006},
}
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