Optimal pairwise correlating transforms for multiple description coding

Yao Wang, Michael T. Orchard, Amy R. Reibman

Research output: Contribution to conferencePaperpeer-review

Abstract

Multiple description coding (MDC) addresses the problem of encoding a source into two (or more) bitstreams such that a high-quality reconstruction is decodable from the two bitstreams together, while a lower, but still acceptable, quality reconstructions is decodable if either of the two bitstreams is lost. Recent research [1] has proposed using transforms to introduce a controlled amount of correlation between the two bitstreams in order to achieve MDC objectives. This paper considers several optimality issues related to such transform-based MDC methods. Redundancy rate-distortion (RRD) performance of a general class of transforms is derived and used to identify the optimal transform for achieving any given amount of redundancy. Then, the paper introduces a more general transform-based MDC framework incorporating both the transform mode of redundancy and a second mode of redundancy. The optimal allocation of redundancy among these two modes is analyzed.

Original languageEnglish (US)
Pages679-683
Number of pages5
StatePublished - 1998
EventProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA
Duration: Oct 4 1998Oct 7 1998

Other

OtherProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)
CityChicago, IL, USA
Period10/4/9810/7/98

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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