DocumentCode
2442660
Title
The Design and Implementation of Fractal Image Coding Based on Wavelet
Author
Gu, Haiming ; Li, Liang
Author_Institution
Dept. of Mathemetics & Phys., Qingdao Univ. of Sci. & Technol., Qingdao, China
Volume
1
fYear
2009
fDate
26-27 Aug. 2009
Firstpage
273
Lastpage
275
Abstract
Traditional fractal image coding has a large amount of computing, whose long running time affects its realization and application. It is its blocks searching and matching that results the long time. Wavelet has multi-frequency characteristics, and there is self-similarity among the subimages decomposed by wavelet. Based on this, this paper´s method is to reduce the redundancy of domain blocks and range blocks, and then to search and match. By this, we can largely reduce the computing time.
Keywords
fractals; image coding; image matching; wavelet transforms; domain blocks; fractal image coding; image matching; range blocks; redundancy; wavelet decomposition; Cybernetics; Educational institutions; Energy resolution; Fractals; Image coding; Image reconstruction; Image resolution; Intelligent systems; Man machine systems; Physics; MSE; fractal image coding; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location
Hangzhou, Zhejiang
Print_ISBN
978-0-7695-3752-8
Type
conf
DOI
10.1109/IHMSC.2009.76
Filename
5336184
Link To Document