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Proceedings Paper

Semi-vector error diffusion for color images
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Paper 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.

Paper Details

Date Published: 22 December 1998
PDF: 4 pages
Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); doi: 10.1117/12.334590
Show Author Affiliations
Zhigang Fan, Xerox Corp. (United States)
Steven J. Harrington, Xerox Corp. (United States)

Published in SPIE Proceedings Vol. 3648:
Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV
Giordano B. Beretta; Reiner Eschbach, Editor(s)

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