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Fractal Image Compression Using Genetic Algorithm

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3 Author(s)
Sarika Sanjay Bobde ; Dept. of Comput. Eng., Univ. of Pune, Pune, India ; M. V. Kulkarni ; P. V. Kulkarni

This paper gives the improved method of generating a binary image IFS using Genetic Algorithm. To find the maps of IFSs that can encode black and white (BW) images, the Genetic Algorithm uses a variable-length genotype representation, i.e., each IFS is represented as a list of maps, and a map is represented as a set of real parameters. Special genetic operators that maintain and control the feasibility of the individuals in the population are adopted. A fitness function is defined that measures the similarity between the attractor and the image that penalizes a large number of maps and high contractivity factors.

Published in:

Advances in Computer Engineering (ACE), 2010 International Conference on

Date of Conference:

20-21 June 2010