Subband image coding using entropy-coded quantization

N. Farvardin, N. Tanabe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper we develop two entropy-coded subband image coding schemes. The difference between these schemes is the procedure used for encoding the lowest frequency subband: predictive coding is used in one system and transform coding in the other. Other subbands are encoded using zero-memory quantization. After a careful study of subband statistics, the quantization parameters, the corresponding Huffman codes and the bit allocation among subbands are all optimized. It is shown that both schemes perform considerably better than the scheme developed by Woods and O'Neil [2]. Roughly speaking, these new schemes perform the same as that in [2] at half the encoding rate. To make a complete comparison against the results in [2], we have studied the performance of the two schemes developed here as well as that of [2] in the presence of channel noise. After developing a codeword packetization scheme, we demonstrate that the scheme in [2] exhibits significantly higher robustness against the transmission noise.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsKeith S. Pennington, Robert J.II Moorhead
Pages240-254
Number of pages15
StatePublished - 1990
EventImage Processing Algorithms and Techniques - Santa Clara, CA, USA
Duration: 12 Feb 199014 Feb 1990

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1244
ISSN (Print)0277-786X

Conference

ConferenceImage Processing Algorithms and Techniques
CitySanta Clara, CA, USA
Period12/02/9014/02/90

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