Title :
Synchronous random fields and image restoration
Author_Institution :
CMLA, Ecole Normale Superieure de Cachan, Cachan, France
fDate :
4/1/1998 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
