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Article
Publication date: 1 April 1987

RALLIS C. PAPADEMETRIOU, THOMAS J. KETSEOGLOU and NICOLAOS S. TZANNES

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…

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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.

Details

Kybernetes, vol. 16 no. 4
Type: Research Article
ISSN: 0368-492X

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