IMAGE RESTORATION USING THE MUTUAL INFORMATION PRINCIPLE
RALLIS C. PAPADEMETRIOU
(Department of Electrical Engineering, University of Patras (Greece))
THOMAS J. KETSEOGLOU
(Department of Electrical Engineering, University of Maryland, College Park, Maryland (USA))
NICOLAOS S. TZANNES
(Department of Electrical Engineering and Communication Sciences, University of Central Florida, Orlando, Florida 32816 (USA))
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Abstract
Multiple Information Principle (MIP) is reviewed as a method of assigning a prior probability mass of density function to a random variable in the presence of some prior information. It is compared to the Maximum Information (MI) method and shown to be more general and inclusive of prior data available to the investigator. The image restoration problem is outlined as an inverse source problem with insufficient data for yielding a unique solution.
Keywords
Citation
PAPADEMETRIOU, R.C., KETSEOGLOU, T.J. and TZANNES, N.S. (1987), "IMAGE RESTORATION USING THE MUTUAL INFORMATION PRINCIPLE", Kybernetes, Vol. 16 No. 4, pp. 229-233. https://doi.org/10.1108/eb005772
Publisher
:MCB UP Ltd
Copyright © 1987, MCB UP Limited