Soft-input source decoding for robust transmission of compressed images using two-dimensional optimal estimation

J. Kliewer, N. Görtz

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

In this paper we address the transmission of compressed images over highly corrupted AWGN-channels using an optimal estimation approach at the decoder. In contrast to other methods we only use a negligible amount of explicit redundancy based on channel codes. Mainly, the implicit residual source redundancy inherent in the quantized subband images and the bit-reliability information at the channel output are utilized for error protection. As a novelty we extend the optimal estimation technique from the one- to the two-dimensional case, where both horizontal and vertical correlations are exploited in the subband images. Based on this approach the performances for several estimation methods are compared, where also approaches for approximating the source correlations at the decoder are discussed.

Original languageEnglish (US)
Pages (from-to)2565-2568
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - Sep 26 2001
Externally publishedYes
Event2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States
Duration: May 7 2001May 11 2001

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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