Title :
Low Bit Rate Image Coding Based Overcomplete Sparse Representation
Author :
Deng, Chengzhi ; Wang, Shengqian
Author_Institution :
Dept. of Comp. Sci. & Tech., Nanchang Inst. of Technol., Nanchang
Abstract :
A sparse image representation algorithm, named multi-atoms matching pursuit (MAMP), and its application to still image coding are proposed. The MAMP algorithm decomposes images sparsely by selecting several atoms at each iteration. The approximation performance of the MAMP algorithm is comparable with those of matching pursuit (MP). Meanwhile, the speeds of sparse decomposition in MAMP algorithm are greatly improved. A multiscale ridge let dictionary is designed to sparsely represent images. The coding performances are tested. Experimental results show the performances of this paper outperform the state of the art JPEG-2000 in terms of both PSNR and visual quality, especially at low bit rate.
Keywords :
image coding; image representation; iterative methods; low bit rate image coding; multi atoms matching pursuit; multiscale ridge let dictionary; over complete sparse representation; Approximation algorithms; Bit rate; Dictionaries; Image coding; Image representation; Matching pursuit algorithms; PSNR; Performance evaluation; Pursuit algorithms; Testing;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.394
