Paper
1 November 1992 Color image enhancement based on modified IHS coordinate system
Jeong Yeop Kim, Jae-Chang Shim, Yeong-Ho Ha
Author Affiliations +
Proceedings Volume 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision; (1992) https://doi.org/10.1117/12.131545
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeong Yeop Kim, Jae-Chang Shim, and Yeong-Ho Ha "Color image enhancement based on modified IHS coordinate system", Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); https://doi.org/10.1117/12.131545
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Cited by 1 scholarly publication.
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KEYWORDS
Image enhancement

Image processing

Image quality

Human vision and color perception

Enhanced vision

Complex systems

Computer vision technology

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