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