Multiple description image coding based on multi-stage vector quantization
2007 (English)In: CONFERENCE RECORD OF THE FORTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, NEW YORK: IEEE , 2007, 243-246 p.Conference paper (Refereed)
A new design approach for multiple description coding, based on multi-stage vector quantizers, is presented. The design is not limited to systems with two descriptions, but is also well suited for the n-descriptions case. Inspired by the concept of channel optimized vector quantization, the design can easily be tailored to suit different erasure channels, e.g. packet erasure channels with memory (burst-losses). The optimization procedure used in the design takes a sample-iterative approach. All stage codebooks; are updated simultaneously for each vector in the training database. The resulting algorithm has the behaviour of a simulated annealing algorithm, with several good properties, e.g. it usually provides codebooks with good index assignments. Image results are presented for systems with 2 and 4 channels. The image coder is based on a subband transform followed by 64-dimensional vector quantization, to illustrate the capacity of the design to handle large problem sizes.
Place, publisher, year, edition, pages
NEW YORK: IEEE , 2007. 243-246 p.
IdentifiersURN: urn:nbn:se:kth:diva-28968DOI: 10.1109/ACSSC.2007.4487205ISI: 000257172900045ScopusID: 2-s2.0-50249119141OAI: oai:DiVA.org:kth-28968DiVA: diva2:398078
41st Asilomar Conference on Signals, Systems and Computers Pacific Grove, CA, NOV 04-07, 2007
QC 201102162011-02-162011-01-252011-02-16Bibliographically approved