Two-stage color palettization for error diffusion

Niloy J. Mitra; Maya R. Gupta

doi:10.1117/12.469516

30 May 2002 Two-stage color palettization for error diffusion

Niloy J. Mitra, Maya R. Gupta

Proceedings Volume 4662, Human Vision and Electronic Imaging VII; (2002) https://doi.org/10.1117/12.469516
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

Image-adaptive color palettization chooses a decreased number of colors to represent an image. Palettization is one way to decrease storage and memory requirements for low-end displays. Palettization is generally approached as a clustering problem, where one attempts to find the k palette colors that minimize the average distortion for all the colors in an image. This would be the optimal approach if the image was to be displayed with each pixel quantized to the closest palette color. However, to improve the image quality the palettization may be followed by error diffusion. In this work, we propose a two-stage palettization where the first stage finds some m << k clusters, and the second stage chooses palette points that cover the spread of each of the M clusters. After error diffusion, this method leads to better image quality at less computational cost and with faster display speed than full k-means palettization.

Citation Download Citation

Niloy J. Mitra and Maya R. Gupta "Two-stage color palettization for error diffusion", Proc. SPIE 4662, Human Vision and Electronic Imaging VII, (30 May 2002); https://doi.org/10.1117/12.469516

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KEYWORDS

Diffusion

Expectation maximization algorithms

Curium

Halftones

Image quality

Promethium

Quantization

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