Title :
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
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 ¿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;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414268
