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An Approach of Contrast Enhancement Using Genetic Algorithm

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dc.contributor.author Hasan, Nayeem
dc.contributor.author Sadid, S.M. Sadman
dc.date.accessioned 2018-03-06T07:29:25Z
dc.date.available 2018-03-06T07:29:25Z
dc.date.issued 12/18/2017
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/2583
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. en_US
dc.description.abstract Contrast enhancement plays a fundamental role in image/video processing. Histogram Equalization (HE) is one of the most used method for image contrast enhancement. However, there is a chance that after HE we can get unreal looking image. This may cause problem in various sector. So to solve this problem we proposed an efficient method of contrast enhancement using genetic algorithm in this paper. This proposed method takes simple chromosome structure as input and perform crossover and mutation on the chromosome. For performing crossover and mutation we used a fitness function to determine which operation is preferred for the chromosome. Experimental results showed that this method makes real image especially when the dynamic range of input image is high. Also, it has been shown by simulation that genetic algorithm works better on image and it also help to enhance image contrast. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;CSE00141
dc.subject Contrast Enhancement Using Genetic Algorithm en_US
dc.title An Approach of Contrast Enhancement Using Genetic Algorithm en_US
dc.type Thesis en_US


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