Multiple description image coding using signal decomposition and reconstruction based on lapped orthogonal transforms

Doo Man Chung, Yao Wang

Research output: Contribution to journalArticlepeer-review

Abstract

This paper considers the use of multiple description coding (MDC) for image transmission in communication systems where long burst errors and sometimes complete channel failures are inevitable. A general framework for MDC is proposed, which uses nonhierarchical signal decomposition at the encoder and image reconstruction at the decoder. A realization of this framework using lapped orthogonal transforms (LOT's) is developed. In the encoder, the bitstream generated by a conventional LOT-based image coder is decomposed so that each description consists of a subsampled set of the coded LOT coefficient blocks. In the decoder, instead of using the inverse LOT directly, a novel image reconstruction technique is employed, which makes use of the constraints between adjacent LOT coefficient blocks and the smoothness property of common image signals. To guarantee a satisfactory reconstruction quality, the transform should introduce a desired amount of correlation among adjacent LOT coefficient blocks. The tradeoff between coding efficiency and reconstruction quality obtainable by using different LOT bases is investigated.

Original languageEnglish (US)
Pages (from-to)895-908
Number of pages14
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume9
Issue number6
DOIs
StatePublished - 1999

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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