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Proceedings Paper

New class of b/w halftoning algorithms
Author(s): Avideh Zakhor; Steve Lin; Farokh Eskafi
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Paper Abstract

We present a new class of dithering algorithms for black and white (b/w) images. The basic idea behind our technique is to divide the image into small blocks and minimize the distortion between the original continuous tone image and its low pass filtered halftone. This corresponds to a quadratic programming problem with linear constraints which is solved via standard optimization techniques. Examples of b/w halftone images using our technique are compared to images obtained via error diffusion algorithm.

Paper Details

Date Published: 27 August 1992
PDF: 12 pages
Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); doi: 10.1117/12.135961
Show Author Affiliations
Avideh Zakhor, Univ. of California/Berkeley (United States)
Steve Lin, Univ. of California/Berkeley (United States)
Farokh Eskafi, Univ. of California/Berkeley (United States)

Published in SPIE Proceedings Vol. 1666:
Human Vision, Visual Processing, and Digital Display III
Bernice E. Rogowitz, Editor(s)

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