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Noise Reduction Via Genetic Algorithm (GA)

Authors: د. غصون السعدون --- أ.م.د. جين جليل اسطيفان
Journal: Journal of Baghdad College of Economic sciences University مجلة كلية بغداد للعلوم الاقتصادية الجامعة ISSN: 2072778X Year: 2008 Issue: 17 Pages: 341-356
Publisher: Baghdad College of Economic Sciences كلية بغداد للعلوم الاقتصادية


This paper describes an effective method for performance both image de noising and brightness to images corrupted with wide category of noise. The method employs a Real-coded Genetic Algorithm (GA) with subjective fitness and crossover operator called (Uniform Crossover).The filters are used noise smoothing and adaptive to local changes in image statistics algorithm [1]. Two methods are used for this purpose, one is the classical and other is the Genetic Algorithm.This paper describes effective Genetic Algorithm (GA) methods for performing together noise reduction for image and brightness using GA, by employing a computational model capable of deriving the filter to the human interpreters demands.

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