Image Enhancement Using Multi-objective Genetic Algorithms

Authors:
Dinabandhu Bhandari;C. A. Murthy;Sankar K. Pal
Affiliations:
Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India 700108;Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India 700108;Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India 700108
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

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Abstract

Given an image, there is no unique measure to quantitatively judge the quality of an image enhancement operator. It is also not clear which measure is to be used for the given image. The present work expresses the problem as a multi-objective optimization problem and a methodology has been proposed based on multi-objective genetic algorithm (MOGA). The methodology exploits the effectiveness of MOGA for searching global optimal solutions in selecting an appropriate image enhancement operator.