Paper
29 March 1996 Saturation clipping in the LHS and YIQ color spaces
Christopher C. Yang, Jeffrey J. Rodriguez
Author Affiliations +
Proceedings Volume 2658, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts; (1996) https://doi.org/10.1117/12.236979
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
A common approach for color image processing is to first transform the RGB image to a new color space (such as LHS and YIQ), do the processing, and then transform back to RGB space. in many applications, only the luminance component is processed, and the hue and saturation are preserved. However, when the processed values in the new color system are transformed back to RGB, the transformed values may lie outside the RGB cube. Some researchers clip the processed luminance values before transformation from the processing color space to RGB space. This can lead to a loss of luminance contrast because many pixels may be clipped to approximately the same luminance value. Instead of clipping the luminance, this paper investigates clipping the saturation component. The gamuts of two color coordinate systems, LHS and YIQ, are studied. The procedures for saturation clipping are presented for both systems. Experimental results of clipping saturation and luminance in histogram equalization are presented in the paper. The results show that the contrast of the processed image is much better when saturation clipping is used. The luminance of the image can utilize the full dynamic range, thereby resulting in improved contrast enhancement.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher C. Yang and Jeffrey J. Rodriguez "Saturation clipping in the LHS and YIQ color spaces", Proc. SPIE 2658, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts, (29 March 1996); https://doi.org/10.1117/12.236979
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Cited by 15 scholarly publications.
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KEYWORDS
RGB color model

Image processing

Color image processing

Computing systems

Image enhancement

Televisions

Visual system

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