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Color harmonization

Cohen-Or, Daniel, Sorkine, Olga, Gal, Ran, Leyvand, Tommer, Xu, Ying-Qing·2006·ACM Transactions on Graphics

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.

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Metadata

Authors
Cohen-Or, D., Sorkine, O., Gal, R., Leyvand, T., & Xu, Y.-Q.
Venue
ACM Transactions on Graphics
Published
2006-07
Volume
25
Issue
3
Pages
624-630
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2296168388
Cited by
341
References
0
FWCI
10.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Color harmonization. https://app.cochat.ai/papers/10.1145/1141911.1141933
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Cohen-Or, D., Sorkine, O., Gal, R., Leyvand, T., & Xu, Y.-Q. (2006). Color harmonization. ACM Transactions on Graphics. https://doi.org/10.1145/1141911.1141933

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.