New class of b/w halftoning algorithms

Avideh Zakhor; Steve Lin; Farokh Eskafi

doi:10.1117/12.135961

27 August 1992 New class of b/w halftoning algorithms

Avideh Zakhor, Steve Lin, Farokh Eskafi

Author Affiliations +

Proceedings Volume 1666, Human Vision, Visual Processing, and Digital Display III; (1992) https://doi.org/10.1117/12.135961
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

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.

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Avideh Zakhor, Steve Lin, and Farokh Eskafi "New class of b/w halftoning algorithms", Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); https://doi.org/10.1117/12.135961

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