DocumentCode
3419336
Title
A new approach to image sparse decomposition based on MP
Author
Yang, Yingyun ; Shi, Dongxin ; Sun, Ke ; Zhang, Qin
Author_Institution
Dept. of Telev. Eng., Commun. Univ. of China, Beijing
fYear
2009
fDate
March 30 2009-April 2 2009
Firstpage
65
Lastpage
68
Abstract
One of main problems in image sparse decomposition is the contradiction between the quality of the image and the algorithm´s speed. To overcome this key problem, a new fast algorithm is presented. At first the number of atoms is decreased by making use of the atom energy property; then this algorithm converts very time-consuming inner product calculations in sparse decomposition into correlations that are fast done by FFT. Experimental results show that the performance of the proposed algorithm is effective.
Keywords
fast Fourier transforms; image matching; atom energy property; fast Fourier transform; image sparse decomposition; inner product calculations; matching pursuit; Dictionaries; Genetic algorithms; Image coding; Image processing; Image quality; Matching pursuit algorithms; Pursuit algorithms; Signal processing; Sun; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Image Processing, 2009. CIIP '09. IEEE Symposium on
Conference_Location
Nashville, TN
Print_ISBN
978-1-4244-2760-4
Type
conf
DOI
10.1109/CIIP.2009.4937882
Filename
4937882
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