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