Decoding of Images using Soft-Bits and Markov Random Field Modeling

Alfred Mertins, Olivier Jamart


In this paper, we combine soft-bit decoding with Markov random field modeling of source signals and apply the proposed technique to image communication over noisy channels. No redundancy is added by the encoder in form of channel codes. For error correction and concealment the decoder relies only on the bit-reliability information extracted at the channel output and the random field modeling of natural images. The results obtained show that the proposed method yields excellent performance even under extremely noisy conditions.

Original languageEnglish
Title of host publicationProceedings. International Conference on Image Processing
Number of pages4
Publication date01.01.2002
ISBN (Print)0-7803-7622-6
Publication statusPublished - 01.01.2002
EventInternational Conference on Image Processing 2002 - Rochester, United States
Duration: 22.09.200225.09.2002
Conference number: 60381


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