1 April 1995 Optimized universal color palette design for error diffusion
Author Affiliations +
Currently, many low-cost computers can only simultaneously display a palette of 256 colors. However, this palette is usually selectable from a very large gamut of available colors. For many applications, this limited palette size imposes a significant constraint on the achievable image quality. We propose a method for designing an optimized universal color palette for use with halftoning methods such as error diffusion. The advantage of a universal color palette is that it is fixed and therefore allows multiple images to be displayed simultaneously. To design the palette, we employ a new vector quantization method known as sequential scalar quantization (SSQ) to allocate the colors in a visually uniform color space. The SSQ method achieves near-optimal allocation, but may be efficiently implemented using a series of lookup tables. When used with error diffusion, SSQ adds little computational overhead and may be used to minimize the visual error in an opponent color coordinate system. We compare the performance of the optimized algorithm to standard error diffusion by evaluating a visually weighted mean-squared-error measure. Our metric is based on the color difference in CIE L*a*b*, but also accounts for the lowpass characteristic of human contrast sensitivity.
Bernd W. Kolpatzik, Bernd W. Kolpatzik, Charles A. Bouman, Charles A. Bouman, } "Optimized universal color palette design for error diffusion," Journal of Electronic Imaging 4(2), (1 April 1995). https://doi.org/10.1117/12.204685 . Submission:


Model-based color image quantization
Proceedings of SPIE (September 07 1993)
The effect of opponent noise on image quality
Proceedings of SPIE (January 16 2005)
Model-based color image sequence quantization
Proceedings of SPIE (April 30 1994)
Input-level-dependent approach to color error diffusion
Proceedings of SPIE (December 17 2003)

Back to Top