会议专题

The Application of a Modified GA in Fractal Image Coding

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 algorithms 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.

genetic algorithm fractal image coding narrowing down space

Sun Yu Li Chunlian

Institute of special education Changchun University China, Changchun Software institute Changchun University China, Changchun

国际会议

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

太原

英文

457-460

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)