DocumentCode :
1998296
Title :
Distributed multiple description image coding
Author :
Majid, Muhammad ; Abhayaratne, Charith
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK
fYear :
2009
fDate :
5-7 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this paper a new method for robust image transmission over lossy channels using distributed multiple description coding is presented. We propose an efficient yet a simple method for encoding each description from multiple description scalar quantizer by exploiting the correlation information among descriptions. In this way the correlated information which we call side information can be extracted at the decoder from each description. The motivation to such a type of encoding is to improve the side decoding and to increase the overall robustness of the scheme. Simulation results show that the side distortion is comparable with the central decoding distortion. Performance evaluation of the proposed approach over packet erasure channel shows 0.2-0.7 dB improvement compared to simple multiple description coding that uses non-distributed multiple description scalar quantizer and demonstrates the effectiveness of the scheme over lossy channels.
Keywords :
decoding; distortion; image coding; central decoding distortion; distributed multiple description image coding; image transmission; lossy channels; multiple description scalar quantizer; side decoding; side distortion; Data mining; Decoding; Error correction; Forward error correction; Image coding; Image reconstruction; Propagation losses; Quantization; Resilience; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on
Conference_Location :
Rio De Janeiro
Print_ISBN :
978-1-4244-4463-2
Electronic_ISBN :
978-1-4244-4464-9
Type :
conf
DOI :
10.1109/MMSP.2009.5293328
Filename :
5293328
Link To Document :
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