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Journal of Electronic Imaging

Adaptive error diffusion algorithm incorporating a visual model
Author(s): Kevin E. Spaulding; Douglas W. Couwenhoven; Rodney L. Miller
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Paper Abstract

This paper describes an improved error diffusion algorithm for the purpose of digitally halftoning images. In one variation of the algorithm an error signal is calculated by the difference between a visually perceived input value and a visually perceived output value. This is accomplished by applying a causal visual blur function to both the input and output images. This approach has the advantage that it minimizes the appearance of worm artifacts in the output image, while simultaneously eliminating the edge artifacts associated with a previous visual error diffusion algorithm. In a second variation of the improved error diffusion algorithm, a local image activity detector is used to adaptively modify the input and output blur filters. This allows the error diffusion parameters to be optimized for different types of image content.

Paper Details

Date Published: 1 July 1998
PDF: 9 pages
J. Electron. Imaging. 7(3) doi: 10.1117/1.482617
Published in: Journal of Electronic Imaging Volume 7, Issue 3
Show Author Affiliations
Kevin E. Spaulding, Eastman Kodak Co. (United States)
Douglas W. Couwenhoven, Eastman Kodak Co. (United States)
Rodney L. Miller, Eastman Kodak Co. (United States)


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