A multiscale color error diffusion algorithm for color quantization. Fung, Y. & Chan, Y. In Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on, pages 669 - 672, dec., 2005. doi abstract bibtex This paper presents a new multiscale vector error diffusion algorithm for color quantization. This iterative algorithm selects a pixel, color-quantizes it and then diffuses the quantization error with a non-causal filter at each iteration until all pixels are color-quantized. By doing so, directional hysteresis is completely eliminated and color impulses can be reduced to a certain extent. Simulation results show that it provides better outputs in terms of S-CIELAB color difference metric as compared with conventional approaches. The subjective quality of the output is also improved.
@inproceedings{1595498,
Author = {Yik-Hing Fung and Yuk-Hee Chan},
Booktitle = {Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on},
Date-Added = {2012-11-28 18:02:18 +0000},
Date-Modified = {2012-11-28 18:02:18 +0000},
Doi = {10.1109/ISPACS.2005.1595498},
Keywords = {color quantization; directional hysteresis; iterative algorithm; multiscale color error diffusion algorithm; noncausal filter; data compression; filtering theory; image coding; image colour analysis; iterative methods;},
Month = {dec.},
Pages = {669 - 672},
Title = {A multiscale color error diffusion algorithm for color quantization},
Year = {2005},
Abstract = { This paper presents a new multiscale vector error diffusion algorithm for color quantization. This iterative algorithm selects a pixel, color-quantizes it and then diffuses the quantization error with a non-causal filter at each iteration until all pixels are color-quantized. By doing so, directional hysteresis is completely eliminated and color impulses can be reduced to a certain extent. Simulation results show that it provides better outputs in terms of S-CIELAB color difference metric as compared with conventional approaches. The subjective quality of the output is also improved.},
Bdsk-Url-1 = {http://dx.doi.org/10.1109/ISPACS.2005.1595498}}
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