Empirical assessment of selected color-quantizing algorithms

Susy S. Chan; Rosalee Nerheim-Wolfe

doi:10.1117/12.172681

1 May 1994 Empirical assessment of selected color-quantizing algorithms

Susy S. Chan, Rosalee Nerheim-Wolfe

Proceedings Volume 2179, Human Vision, Visual Processing, and Digital Display V; (1994) https://doi.org/10.1117/12.172681
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

We develop an empirical approach for evaluating the performance of color-quantizing algorithms in controlled laboratory experiments. We chose a 4 X 4 X 2 factorial experimental design to examine the performance of four algorithms at four palette sizes in two arrangements. The independent variables are algorithm, palette size and arrangement, and the dependent variables are perceived color fidelity, contrast, and overall quality. Subjects observed 128 quantized images on slides. We find significant between-subject effects of palette size and algorithms on all dependent variables, and observe consistent patterns of significant palette size effects. The 16-color palette results in the poorest perceived image quality, and the 64-color palette is poorer than the 256-color palette. However, there is homogeneity in performance between 64 and 128 colors, and between 128 colors and 256 colors. The effect of algorithm is less consistent.

Citation Download Citation

Susy S. Chan and Rosalee Nerheim-Wolfe "Empirical assessment of selected color-quantizing algorithms", Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); https://doi.org/10.1117/12.172681

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