Error-resilient transmission of compressed images over very noisy channels using soft-input source decoding

J. Kliewer, N. Görtz

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

In this contribution we utilize an optimal estimation approach for error-resilient transmission of compressed images over AWGN channels. In contrast to other methods, we mainly rely on the implicit residual redundancy inherent in the subband images and the bit-reliability information at the channel output for error protection. It is shown that by including a-priori knowledge about the spatial correlations in the subband images, we obtain a highly increased quality of the reconstructed image. This holds especially for very noisy channels and a mean-square estimation of the subband source coefficients.

Original languageEnglish (US)
Pages (from-to)1035-1039
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - Dec 1 2000
Externally publishedYes
Event34th Asilomar Conference - Pacific Grove, CA, United States
Duration: Oct 29 2000Nov 1 2000

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Error-resilient transmission of compressed images over very noisy channels using soft-input source decoding'. Together they form a unique fingerprint.

Cite this