A fast decoder for Compressed Sensing based multiple description image coding

Author

Hyder, Md Mashud ; Mahata, Kaushik

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia

fYear

2009

fDate

7-10 Nov. 2009

Firstpage

2125

Lastpage

2128

Abstract

Multiple description coding (MDC) offers an elegant approach to data transmission over lossy packet-based networks. This paper proposes an MDC decoder for Compressed Sensing (CS) based MDC. Our decoder minimizes Â¿⁰ norm of the total variation of the image in a recursive manner, making it effective when different descriptions experience different time delays in the network. The proposed approach brings in a significant performance improvement in reconstruction accuracy and reconstruction time.

Keywords

decoding; image coding; image reconstruction; MDC decoder; compressed sensing; data transmission; fast decoder; lossy packet based networks; multiple description coding; multiple description image coding; reconstruction accuracy; reconstruction time; Australia; Compressed sensing; Computer science; Data communication; Decoding; Delay effects; Image coding; Image reconstruction; Propagation losses; Redundancy; ℓ⁰ minimization; Multiple description coding; compressed sensing; image coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2009 16th IEEE International Conference on

Conference_Location

Cairo

ISSN

1522-4880

Print_ISBN

978-1-4244-5653-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2009.5414268

Filename

5414268