Y.Chakrapani and K.Soundera Rajan
Hybrid GeneticSimulated Annealing Approach for Fractal Image Compression
3780 - 3785
2008
2
11
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/6811
https://publications.waset.org/vol/23
World Academy of Science, Engineering and Technology
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 premature 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.
Open Science Index 23, 2008