MAP decoding of gray-level images over binary channels with memory

Fady Alajaji; Philippe Burlina; Rama Chellappa

MAP decoding of gray-level images over binary channels with memory

Fady Alajaji, Philippe Burlina, Rama Chellappa

Research output: Contribution to conference › Paper › peer-review

Abstract

A joint source-channel coding technique is proposed for transmitting grey-level images over a binary channel with additive Markov noise. In this scheme, inherent or residual (after source coding) image redundancy is exploited at the receiver in an appropriately designed MAP detector. Two methods are presented. The first method relies on MAP decoding of uncompressed bit-plane encoded images. The second method deals with compressed images (DCT coded and quantized) and uses unequal error protection along with the MAP detection procedure. Experimental results demonstrate that particularly during bad channel conditions, significant performance improvements can be achieved.

Original language	English (US)
Pages	29-32
Number of pages	4
State	Published - Dec 1 1996
Externally published	Yes
Event	Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz Duration: Sep 16 1996 → Sep 19 1996

Other

Other	Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
City	Lausanne, Switz
Period	9/16/96 → 9/19/96

ASJC Scopus subject areas

Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Cite this

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title = "MAP decoding of gray-level images over binary channels with memory",

abstract = "A joint source-channel coding technique is proposed for transmitting grey-level images over a binary channel with additive Markov noise. In this scheme, inherent or residual (after source coding) image redundancy is exploited at the receiver in an appropriately designed MAP detector. Two methods are presented. The first method relies on MAP decoding of uncompressed bit-plane encoded images. The second method deals with compressed images (DCT coded and quantized) and uses unequal error protection along with the MAP detection procedure. Experimental results demonstrate that particularly during bad channel conditions, significant performance improvements can be achieved.",

author = "Fady Alajaji and Philippe Burlina and Rama Chellappa",

year = "1996",

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AU - Burlina, Philippe

AU - Chellappa, Rama

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AB - A joint source-channel coding technique is proposed for transmitting grey-level images over a binary channel with additive Markov noise. In this scheme, inherent or residual (after source coding) image redundancy is exploited at the receiver in an appropriately designed MAP detector. Two methods are presented. The first method relies on MAP decoding of uncompressed bit-plane encoded images. The second method deals with compressed images (DCT coded and quantized) and uses unequal error protection along with the MAP detection procedure. Experimental results demonstrate that particularly during bad channel conditions, significant performance improvements can be achieved.

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ER -

MAP decoding of gray-level images over binary channels with memory

Abstract

Other

ASJC Scopus subject areas

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Cite this