Image enhancement using multi-objective genetic algorithms

Bhandari, Dinabandhu ; Murthy, C. A. ; Pal, Sankar K. (2009) Image enhancement using multi-objective genetic algorithms Lecture Notes in Computer Science, 5909 . pp. 309-314. ISSN 0302-9743

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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.

Item Type:Article
Source:Copyright of this article belongs to Springer.
Keywords:Image Enhancement; Multi Objective Genetic Algorithms; Ambiguity Measures
ID Code:77743
Deposited On:14 Jan 2012 12:09
Last Modified:14 Jan 2012 12:09

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