DocumentCode
3193765
Title
Multiscale pursuit scheme for image approximation
Author
He, Yanmin ; Gan, Tao ; Wang, Houjun
Author_Institution
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol., Chengdu
fYear
2008
fDate
25-27 May 2008
Firstpage
710
Lastpage
713
Abstract
In this paper, a new multiscale matching pursuit algorithm for image approximation is presented. The dictionary consisting of geometric atoms is used to provide the approximation ability. To speed up the matching process, the pursuit is performed at different image scales. Experimental results show that compared to the latest matching pursuit approach, the proposed algorithm achieves a significant speed improvement while maintaining the high approximation quality.
Keywords
approximation theory; image representation; iterative methods; approximation quality; image approximation; multiscale matching pursuit algorithm; Approximation algorithms; Dictionaries; Gallium nitride; Greedy algorithms; Helium; Image coding; Matching pursuit algorithms; Pursuit algorithms; Signal processing algorithms; Signal representations;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
Conference_Location
Fujian
Print_ISBN
978-1-4244-2063-6
Electronic_ISBN
978-1-4244-2064-3
Type
conf
DOI
10.1109/ICCCAS.2008.4657871
Filename
4657871
Link To Document