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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.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 4
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Chueh-Min Cheng , Meng-Fang Chung , Ming-Yang Yu , Ming Ouhyoung , Hao-Hua Chu , Yung-Yu Chuang, Chromirror: a real-time interactive mirror for chromatic and color-harmonic dressing, CHI '08 extended abstracts on Human factors in computing systems, April 05-10, 2008, Florence, Italy
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Chia-Hu Chang , Kuei-Yi Hsieh , Ming-Che Chung , Ja-Ling Wu, ViSA: virtual spotlighted advertising, Proceeding of the 16th ACM international conference on Multimedia, October 26-31, 2008, Vancouver, British Columbia, Canada
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INDEX TERMS
Primary Classification:
I.
Computing Methodologies
I.3
COMPUTER GRAPHICS
I.3.7
Three-Dimensional Graphics and Realism
Subjects:
Color, shading, shadowing, and texture
Additional Classification:
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.10
Vision and Scene Understanding
Subjects:
Intensity, color, photometry, and thresholding
General Terms:
Algorithms,
Design
Keywords:
color harmonization,
computational aesthetics,
cut-and-paste,
image enhancement
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