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