1 April 2011 Color harmonization for images
Zhen Tang, Zhenjiang Miao, Yanli Wan, Zhifei Wang
Author Affiliations +
Abstract
Color harmonization is an artistic technique to adjust a set of colors in order to enhance their visual harmony so that they are aesthetically pleasing in terms of human visual perception. We present a new color harmonization method that treats the harmonization as a function optimization. For a given image, we derive a cost function based on the observation that pixels in a small window that have similar unharmonic hues should be harmonized with similar harmonic hues. By minimizing the cost function, we get a harmonized image in which the spatial coherence is preserved. A new matching function is proposed to select the best matching harmonic schemes, and a new component-based preharmonization strategy is proposed to preserve the hue distribution of the harmonized images. Our approach overcomes several shortcomings of the existing color harmonization methods. We test our algorithm with a variety of images to demonstrate the effectiveness of our approach.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Zhen Tang, Zhenjiang Miao, Yanli Wan, and Zhifei Wang "Color harmonization for images," Journal of Electronic Imaging 20(2), 023001 (1 April 2011). https://doi.org/10.1117/1.3574097
Published: 1 April 2011
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CITATIONS
Cited by 11 scholarly publications and 3 patents.
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KEYWORDS
Image segmentation

Spatial coherence

Image processing

Composites

Image processing algorithms and systems

Chemical elements

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