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
fDate :
March 30 2009-April 2 2009
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;
Conference_Titel :
Computational Intelligence for Image Processing, 2009. CIIP '09. IEEE Symposium on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2760-4
DOI :
10.1109/CIIP.2009.4937882