DocumentCode :
1347279
Title :
Robust Multiresolution Coding
Author :
Chen, Jun ; Dumitrescu, Sorina ; Zhang, Ying ; Wang, Jia
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
Volume :
58
Issue :
11
fYear :
2010
fDate :
11/1/2010 12:00:00 AM
Firstpage :
3186
Lastpage :
3195
Abstract :
In multiresolution coding a source sequence is encoded into a base layer and a refinement layer. The refinement layer, constructed using a conditional codebook, is in general not decodable without the correct reception of the base layer. By relating multiresolution coding with multiple description coding, we show that it is in fact possible to construct multiresolution codes in certain ways so that the refinement layer alone can be used to reconstruct the source to achieve a nontrivial distortion. As a consequence, one can improve the robustness of the existing multiresolution coding schemes without sacrificing the efficiency. Specifically, we obtain an explicit expression of the minimum distortion achievable by the refinement layer for arbitrary finite alphabet sources with Hamming distortion measure. Experimental results show that the information-theoretic limits can be approached using a practical robust multiresolution coding scheme based on low-density generator matrix codes.
Keywords :
Hamming codes; encoding; Hamming distortion; conditional codebook; finite alphabet source; information theoretic limits; low density generator matrix codes; minimum distortion; refinement layer; robust multiresolution coding; source sequence; Distortion measurement; Encoding; Indexes; Markov processes; Minimization; Rate-distortion; Robustness; Low-density generator matrix; message-passing algorithm; multiple description coding; multiresolution coding; successive refinement;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2010.093010.100024
Filename :
5599267
Link To Document :
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