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Multi-Level Image Halftoning Technique with Genetic Algorithms

Tomoya UMEMURA, Hernan AGUIRRE, Kiyoshi TANAKA

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Summary :

An image halftoning technique that uses a simple GA has proven to be effective generating bi-level halftone images with quality higher than conventional techniques. Many devices are designed to handle more than two halftone levels and a GA based multi-level halftoning technique is desirable. In this paper we extend the bi-level halftoning technique to generate multi-level halftone images. Also we introduce an improved GA (GA-SRM) into the proposed multi-level halftoning technique. Experimental results show that the proposed technique can effectively generate high quality multi-level halftone images and that the inclusion of GA-SRM substantially contributes reducing memory usage and accelerating image generation.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.8 pp.1892-1897
Publication Date
2002/08/01
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section LETTER (Special Section on Digital Signal Processing)
Category
Image/Visual Signal Processing

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