TY - JFULL AU - Y.Chakrapani and K.Soundera Rajan PY - 2008/12/ TI - Hybrid Genetic-Simulated Annealing Approach for Fractal Image Compression T2 - International Journal of Computer and Information Engineering SP - 3779 EP - 3785 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/6811 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 23, 2008 N2 - In this paper a hybrid technique of Genetic Algorithm and Simulated Annealing (HGASA) is applied for Fractal Image Compression (FIC). With the help of this hybrid evolutionary algorithm effort is made to reduce the search complexity of matching between range block and domain block. The concept of Simulated Annealing (SA) is incorporated into Genetic Algorithm (GA) in order to avoid pre-mature convergence of the strings. 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 along with acceptable quality of the decoded image, HGASA technique has been proposed. Experimental results show that the proposed HGASA is a better method than GA in terms of PSNR for Fractal image Compression. ER -