DocumentCode :
604415
Title :
An improved fast fractal image coding algorithm
Author :
Tang Guo Wei ; Wu Shuang ; Zhang Yan
Author_Institution :
Sch. of Comput. & Inf. Technol., Northeast Pet. Univ., Daqing, China
fYear :
2012
fDate :
29-31 Dec. 2012
Firstpage :
730
Lastpage :
732
Abstract :
With the development of the Internet, new requirements are put forward on image compression effect, compression ratio and encoding and decoding time. The principle of fractal coding is novel. It breaks through the traditional entropy boundary theory. Especially its high compression ratio makes the fractal image coding become a hot research point. But this method has the encoding and decoding lopsided problem. Based on the basic principle of fractal image compression, t h is paper proposes a calculation method which is based on the main diagonal, namely only using the two diagonal data to do mean calculation. Thus not only reduce the data in operation, but also make the time be reduced to a certain degree. The experimental results show that, under the same quality of the image reconstruction, the algorithm makes the encoding and decoding time be greatly reduced.
Keywords :
decoding; entropy; image coding; image reconstruction; Internet; compression ratio; decoding lopsided problem; decoding time; diagonal data; encoding lopsided problem; encoding time; entropy boundary theory; image compression effect; image reconstruction; improved fast fractal image coding algorithm; Fractal Image Coding; Fractal Theory; Image Compression; Iterative Function System);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
Type :
conf
DOI :
10.1109/ICCSNT.2012.6526037
Filename :
6526037
Link To Document :
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