๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A new approach for ME image restoration based on CNN

โœ Scribed by Zhao, Jianye; Yu, Daoheng

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
496 KB
Volume
27
Category
Article
ISSN
0098-9886

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โœฆ Synopsis

A new approach for image restoration by cellular neural network (CNN) is developed in this paper. Based on the statistical characteristics of Gibbs image model and the analysis of maximum entropy (ME) image restoration, a reasonable template for binary image restoration is proposed. To process multilevel image, a multi-layer cellular neural network is employed and an extensive algorithm for multilevel image restoration is proposed. The results of computer simulation prove the e!ectiveness of this approach and show that we can get the e!ective template of CNN for some special image questions if we apply the statistical characteristics of Gibbs image model and analyse the physical meaning of the questions.

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