An algorithm for maximum entropy image reconstruction from noisy data

Maximum entropy image reconstruction

This correspondence justifies the maximum entropy image reconstruction (MEIR) formulation proposed by Zhuang et al. (1987), Manuscript received September 18, 1989; revised June 6, 1990. This work was supported by the K. C. Wong Education Foundation, Hong Kong. X. Zhuang is with the Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 6521 1 . R. M. Haralick is...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

Bayesian Maximum Entropy Image Reconstruction

This paper presents a Bayesian interpretation of maximum entropy image reconstruction and shows that exp(αS(/, m)), where S(f,m) is the entropy of image / relative to model m, is the only consistent prior probability distribution for positive, additive images. It also leads to a natural choice for the regularizing parameter α, that supersedes the traditional practice of setting χ = N. The new c...

Bayesian Entropy Approach with the Maximum Entropy Principle in Image Reconstruction from Microwave Scattered Field Data