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Proceedings Paper

Color image enhancement based on modified IHS coordinate system
Author(s): Jeong Yeop Kim; Jae-Chang Shim; Yeong-Ho Ha
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Paper Abstract

Color image enhancement is a technique which makes an image more vivid for human vision. Most affecting color elements for the image are intensity, contrast, and saturation. In handling these color elements with the conventional coordinates, their geometric form is important in view of valid gamut. Of them, IHS coordinate appropriately represents human color perception and it is easy to manipulate hue, intensity, and saturation of the image. The geometric form of this coordinate is, however, nonlinear, so that it is difficult to control the element values since they may exceed the valid gamut. In this paper, a modified IHS coordinate system is proposed to remedy the nonlinearity of the IHS system. The proposed coordinate is derived to linearize the relationship between the saturation and intensity. To improve the image quality, contrast is increased by maximizing the dynamic range of intensity, and saturation is normalized in full range of the intensity because the ratio between the changed saturation values should be maintained as the same ratio between original values. Hue is preserved to keep the characteristic property of the color image. This coordinate system is easy for enhancing color images and avoiding the gamut-overflow problem.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131545
Show Author Affiliations
Jeong Yeop Kim, Kyungpook National Univ. (South Korea)
Jae-Chang Shim, Kyungpook National Univ. (South Korea)
Yeong-Ho Ha, Kyungpook National Univ. (South Korea)

Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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