Improved error diffusion incorporating a visual model

Kevin E. Spaulding; Douglas W. Couwenhoven; Rodney L. Miller

doi:10.1117/12.320137

17 July 1998 Improved error diffusion incorporating a visual model

Kevin E. Spaulding, Douglas W. Couwenhoven, Rodney L. Miller

Proceedings Volume 3299, Human Vision and Electronic Imaging III; (1998) https://doi.org/10.1117/12.320137
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

This paper describes an improved error diffusion algorithm for the purpose of digitally halftoning images. In a first 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.

Citation Download Citation

Kevin E. Spaulding, Douglas W. Couwenhoven, and Rodney L. Miller "Improved error diffusion incorporating a visual model", Proc. SPIE 3299, Human Vision and Electronic Imaging III, (17 July 1998); https://doi.org/10.1117/12.320137

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