NDLI: Fast algorithm for distortion-based error protection of embedded image codes

Content Provider	IEEE Xplore Digital Library
Author	Hamzaoui, R. Stankovic, V. Zixiang Xiong
Copyright Year	1992
Abstract	We consider a joint source-channel coding system that protects an embedded bitstream using a finite family of channel codes with error detection and error correction capability. The performance of this system may be measured by the expected distortion or by the expected number of correctly decoded source bits. Whereas a rate-based optimal solution can be found in linear time, the computation of a distortion-based optimal solution is prohibitive. Under the assumption of the convexity of the operational distortion-rate function of the source coder, we give a lower bound on the expected distortion of a distortion-based optimal solution that depends only on a rate-based optimal solution. Then, we propose a local search (LS) algorithm that starts from a rate-based optimal solution and converges in linear time to a local minimum of the expected distortion. Experimental results for a binary symmetric channel show that our LS algorithm is near optimal, whereas its complexity is much lower than that of the previous best solution.
Sponsorship	IEEE Signal Processing Society
Page Count	5
File Size	184868
Starting Page	1417
Ending Page	1421
File Format	PDF
ISSN	10577149
Volume Number	14
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protection Decoding Error correction codes Image coding Feedback Distortion measurement Image converters Image communication Source coding Cyclic redundancy check codes unequal error protection Joint source-channel coding image transmission local search
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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