DocumentCode
1381195
Title
Synchronous random fields and image restoration
Author
Younes, Laurent
Author_Institution
CMLA, Ecole Normale Superieure de Cachan, Cachan, France
Volume
20
Issue
4
fYear
1998
fDate
4/1/1998 12:00:00 AM
Firstpage
380
Lastpage
390
Abstract
We propose a general synchronous model of lattice random fields which could be used similarly to Gibbs distributions in a Bayesian framework for image analysis, leading to algorithms ideally designed for an implementation on massively parallel hardware. After a theoretical description of the model, we give an experimental illustration in the context of image restoration
Keywords
image restoration; parallel algorithms; random processes; Bayesian framework; Gibbs distributions; image analysis; image restoration; lattice random fields; massively parallel hardware; synchronous random fields; Algorithm design and analysis; Bayesian methods; Computational modeling; Context modeling; Hardware; Image analysis; Image processing; Image restoration; Lattices; Neural networks;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.677263
Filename
677263
Link To Document