Research on heterogeneous distributed fractal image compression algorithm based on parallel genetic algorithm and iterative function

This paper briefly introduces the method and implementation of image compression of heterogeneous distributed genetic and iterative function system (IFS). Based on the traditional parallel genetic algorithm, a heterogeneous distributed model of parallel fractal image compression based on genetic alg...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 1237; no. 2; pp. 22035 - 22039
Main Author: Jian Ning, Han
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.06.2019
Subjects:
Fractal models
Fractals
Genetic algorithms
Image compression
Image quality
Iterative methods
Signal to noise ratio
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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Summary:This paper briefly introduces the method and implementation of image compression of heterogeneous distributed genetic and iterative function system (IFS). Based on the traditional parallel genetic algorithm, a heterogeneous distributed model of parallel fractal image compression based on genetic algorithm is implemented, and the corresponding complex model design scheme is put forward. The results show that the algorithm has better search ability, its comprehensive performance such as signal-to-noise ratio/compression time is further improved, the decoding image is similar to the original image, and has high image quality effect.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1237/2/022035