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

Alfred Mertins; Olivier Jamart

doi:10.1109/ICIP.2002.1038004

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

Alfred Mertins, Olivier Jamart

Institute of Signal Processing

University of Wollongong

Abstract

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 language	English
Title of host publication	Proceedings. International Conference on Image Processing
Number of pages	4
Publisher	IEEE
Publication date	01.01.2002
Pages	241-244
ISBN (Print)	0-7803-7622-6
DOIs	https://doi.org/10.1109/ICIP.2002.1038004
Publication status	Published - 01.01.2002
Event	International Conference on Image Processing 2002 - Rochester, United States Duration: 22.09.2002 → 25.09.2002 Conference number: 60381

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10.1109/ICIP.2002.1038004

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title = "Decoding of Images using Soft-Bits and Markov Random Field Modeling",

abstract = "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.",

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Mertins, A & Jamart, O 2002, Decoding of Images using Soft-Bits and Markov Random Field Modeling. in Proceedings. International Conference on Image Processing. IEEE International Conference on Image Processing, IEEE, pp. 241-244, International Conference on Image Processing 2002 , Rochester, New York, United States, 22.09.02. https://doi.org/10.1109/ICIP.2002.1038004

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AU - Jamart, Olivier

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N2 - 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.

AB - 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.

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M3 - Conference contribution

SN - 0-7803-7622-6

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BT - Proceedings. International Conference on Image Processing

PB - IEEE

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ER -

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

Abstract

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