@article{(Open Science Index):https://publications.waset.org/pdf/6811,
	  title     = {Hybrid Genetic-Simulated Annealing Approach for Fractal Image Compression},
	  author    = {Y.Chakrapani and  K.Soundera Rajan},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {11},
	  year      = {2008},
	  pages     = {3780 - 3785},
	  ee        = {https://publications.waset.org/pdf/6811},
	  url   	= {https://publications.waset.org/vol/23},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 23, 2008},