COLOR IMAGING: DEVICE-INDEPENDENT COLOR, COLOR HARDCOPY, AND GRAPHIC ARTS

Improved quantization methods in color error diffusion

[+] Author Affiliations
Zhigang Fan, Steven Harrington

Digital Imaging Technology Center, Xerox Corporation, Webster, New York?14580

J. Electron. Imaging. 8(4), 430-438 (Oct 01, 1999). doi:10.1117/1.482711
History: Received Mar. 1, 1999; Revised May 4, 1999; Accepted May 18, 1999
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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 typically superior in overall image quality. However, it requires significantly more computation. In addition, it may occasionally introduce boundary artifacts. A color band, at a width of a few pixels to tens of pixels, may appear along the edges. In this paper, we propose two improvements in quantization for color error diffusion. First, we introduce an algorithm, which we call semivector quantization, to reduce the computational complexity of vector error diffusion. Second, we present a simple yet effective method for reducing boundary artifacts. © 1999 SPIE and IS&T.

© 1999 SPIE and IS&T

Citation

Zhigang Fan and Steven Harrington
"Improved quantization methods in color error diffusion", J. Electron. Imaging. 8(4), 430-438 (Oct 01, 1999). ; http://dx.doi.org/10.1117/1.482711


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