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Fractal image compression based on spatial correlation and hybrid particle swarm optimization with genetic algorithm
2010
2010 2nd International Conference on Software Technology and Engineering
Fractal image compression explores the selfsimilarity property of a natural image and utilizes the partitioned iterated function system (PIFS) to encode it. This technique is of great interest both in theory and application. However, it is time-consuming in the encoding process and such drawback renders it impractical for real time applications. The time is mainly spent on the search for the best-match block in a large domain pool. In this paper, a fractal image compression algorithm based on
doi:10.1109/icste.2010.5608826
fatcat:o3n4mvhhczf3bpk3ewvanjh5rq