Finding the natural problem in the bayer dispersed dot method with genetic algorithm

Authors:
Timo Mantere
Affiliations:
Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland
Venue:
CIS'04 Proceedings of the First international conference on Computational and Information Science
Year:
2004

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Abstract

This paper studies how the built-in natural weakness in the image processing algorithm or system can be searched and found with the evolutionary algorithms. In this paper, we show how the genetic algorithm finds the weakness in the Bayer's dispersed dot dithering method. We also take a closer look at the method and identify why this weakness is relatively easy to find with synthetic images. Moreover, we discuss the importance of comprehensive testing before the results with some image processing methods are reliable.