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
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