Semi-vector error diffusion for color images

Zhigang Fan; Steven J. Harrington

doi:10.1117/12.334590

22 December 1998 Semi-vector error diffusion for color images

Zhigang Fan, Steven J. Harrington

Proceedings Volume 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV; (1998) https://doi.org/10.1117/12.334590
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Color error diffusion can be classified into two types, namely, vector error diffusion and scalar error diffusion, according to the underlying quantization methods. Compared to scalar error diffusion, vector error diffusion is superior in image quality. However, it requires significantly more computation, and can introduce artifacts due to accumulation of the errors in output device space. In this paper, we propose a new quantization algorithm for CMY color error diffusion. The algorithm, which we call semi- vector quantization, has a low computational complexity and a high stability as similar to scalar error diffusion, but yields superb quality images close to those generated from vector error diffusion.

Citation Download Citation

Zhigang Fan and Steven J. Harrington "Semi-vector error diffusion for color images", Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); https://doi.org/10.1117/12.334590

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