DocumentCode :
532448
Title :
The application of a modified GA in fractal image coding
Author :
Yu, Sun ; Chunlian, Li
Author_Institution :
Inst. of Special Educ., Changchun Univ., Changchun, China
Volume :
2
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
A modified genetic algorithm with search space narrowing down is presented. The proposed GA has been proved good performance in both the numerical examples and the molecular docking. As a further application, it is used to deal with the fractal image coding to overcome its long block matching time of traditional fractal image coding. This paper uses the improved algorithm´s optimal solution search capabilities to replace the complex process of block matching in fractal image coding. Combined with the constraints of contrast factor, this method can limit the search space and reduce the coding time. Experimental results show that compared with the other genetic method, the proposed algorithm can speed up the coding process, while improving the image quality.
Keywords :
fractals; genetic algorithms; image coding; image matching; search problems; block matching; complex process; fractal image coding; genetic method; image quality; modified genetic algorithm; molecular docking; optimal solution; search space; Convergence; Fractals; Image resolution; Genetic Algorithm; fractal image coding; narrowing down space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5620552
Filename :
5620552
Link To Document :
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