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Proceedings Paper

Optimum error-diffusion kernel design
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Paper Abstract

The quality of typical error diffused images can be improved by designing an error diffusion filter that minimizes a frequency weighted mean squared error between the continuous tone input and the halftone output. Previous approaches to this design are typically based on an assumption that the binary quantizer error is a white noise source. We propose in this paper an iterative method for designing an optimum error diffusion kernel without such an assumption on the spectral characteristics of the binary quantizer error.In particular, we use a set of training images, and iterate the two steps of designing the error diffusion filter and evaluating the spectrum of the quantizer error. Experimental results are shown for error diffusion filters designed using this iterative method.

Paper Details

Date Published: 4 April 1997
PDF: 7 pages
Proc. SPIE 3018, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II, (4 April 1997); doi: 10.1117/12.271597
Show Author Affiliations
Ping Wah Wong, Hewlett-Packard Labs. (United States)
Jan P. Allebach, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 3018:
Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II
Giordano B. Beretta; Reiner Eschbach, Editor(s)

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