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