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