Minimum Mutual Information in Image Restoration
Joseph P. Noonan
(Tufts University, Medford, USA)
James R. Marcus
(New York Institute of Technology, New York, USA)
108
Abstract
The mathematical and theoretical development required for using the minimum mutual information technique in image restoration is presented. Results from an implementation of the minimum mutual information technique are shown to demonstrate its capabilities. The results establish that minimum mutual information is a viable image restoration approach without the convergence problems usually associated with similar techniques.
Keywords
Citation
Noonan, J.P. and Marcus, J.R. (1990), "Minimum Mutual Information in Image Restoration", Kybernetes, Vol. 19 No. 6, pp. 34-41. https://doi.org/10.1108/eb005867
Publisher
:MCB UP Ltd
Copyright © 1990, MCB UP Limited