DocumentCode :
463726
Title :
A Compressed Sensing Approach to Frame-Based Multiple Description Coding
Author :
Petrisor, Traian ; Pesquet-Popescu, B. ; Pesquet, Jean-Christophe
Author_Institution :
Dept. of Signal & Image Process., ENST, Paris, France
Volume :
2
fYear :
2007
fDate :
15-20 April 2007
Abstract :
In this paper, we consider a two description coding scheme based on a general frame synthesis operator. Through some approximations of the original rate-distortion problem, the design of the efficiently encoded coefficients is formulated as a convex optimization problem. We also show that there exists a close link between the proposed coding strategy and compressed sensing problems. Simulations results are provided to show the validity of our approach.
Keywords :
data compression; image coding; optimisation; rate distortion theory; compressed sensing approach; convex optimization problem; frame synthesis operator; frame-based multiple description coding; rate-distortion problem; Compressed sensing; Decoding; Image coding; Matching pursuit algorithms; Rate-distortion; Signal analysis; Signal generators; Signal reconstruction; Signal synthesis; Wavelet transforms; Image coding; signal reconstruction; transform coding; wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.366334
Filename :
4217507
Link To Document :
بازگشت