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Asian Journal of Information Technology
Year: 2008  |  Volume: 7  |  Issue: 7  |  Page No.: 285 - 289

A Comparative Approach to Fractal image Compression Using Genetic Algorithm and Simulated Annealing Technique

Y. Chakrapani and K. Soundera Rajan    

Abstract: In this study, the technique of Genetic Algorithm (GA) and Simulated Annealing (SA) is applied for Fractal Image Compression (FIC). With the help of these evolutionary algorithms effort is made to reduce the search complexity of matching between range block and domain block. One of the image compression techniques in the spatial domain is fractal image compression but the main drawback of FIC is that it involves more computational time due to global search. In order to improve the computational time and also the quality of the decoded image, genetic and simulated annealing algorithms are proposed. Experimental results show that the genetic algorithm is a better method than Simulated Annealing Technique for fractal image compression.

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