DocumentCode :
304663
Title :
MAP decoding of gray-level images over binary channels with memory
Author :
Alajaji, Fady ; Burlina, Philippe ; Chellappa, Rama
Author_Institution :
Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
Volume :
1
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
29
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
Keywords :
Markov processes; channel coding; discrete cosine transforms; image coding; maximum likelihood decoding; maximum likelihood detection; noise; quantisation (signal); redundancy; source coding; telecommunication channels; transform coding; DCT coding; MAP decoding; MAP detector; additive Markov noise; binary channels; gray-level images; image redundancy; image transmission; memory; performance; quantized images; source coding; source-channel coding technique; uncompressed bit-plane encoded images; unequal error protection; Additive noise; Channel capacity; Decoding; Delay; Detectors; Error correction codes; Image coding; Random access memory; Redundancy; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560593
Filename :
560593
Link To Document :
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