Robust transmission of compressed images over noisy Gaussian channels

Thomas P. O'Rourke, Robert L. Stevenson, Yih Fang Huang, Lance C. Perez, Daniel J. Costello

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

Many image communication systems have constraints on bandwidth, power and time which prohibit transmission of uncompressed raw image data. Compressed image formats, however, are extremely sensitive to bit errors which can seriously degrade the quality of the image at the receiver. A new list-based iterative trellis decoder is proposed which accepts feedback from a post-processor which can detect channel errors in the reconstructed image. Experimental results are shown which indicate the new decoder provides significant improvement over the standard Viterbi decoder.

Original languageEnglish (US)
Pages (from-to)2319-2322
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - 1995
EventProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA
Duration: May 9 1995May 12 1995

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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