Bajkova's generalized maximum entropy method for reconstruction of complex signals is
further generalized through the use of Kullback–Leibler cross entropy. This permits a priori …

The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in
Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de …

This paper presents a fully Bayesian derivation of maximum entropy image reconstruction.
The argument repeatedly goes from the particular to the general, in that if there are general …

The primary purpose of this paper is to present the theory of the pixon, its role in Bayesian
image reconstruction, and a new method for selecting a pixon basis using fractal dimension …

This paper presents a Bayesian interpretation of maximum entropy image reconstruction
and shows that exp (αS (f, m)), where S (f, m) is the entropy of image f relative to model m, is …

In this paper we propose a Bayesian approach with Maximum Entropy (ME) priors to solve
an integral equation which arises in various image restoration and reconstruction problems …

Maximum entropy is being increasingly widely used as a technique of image reconstruction.
The form of entropy to be used, however, has been the cause of dissention, some authors [1 …

A class of discrete image-reconstruction and restoration problems is addressed. A brief
description is given of the maximum a posteriori (MAP) Bayesian approach with maximum …

Entropy has been widely used to solve inverse problems, especially when a complete set of
data is not available to obtain a unique solution to the problem. In this paper we show that a …

A brief introduction to image reconstruction is made and the basic concepts of the maximum
entropy method are outlined. A statistical inference algorithm based on this method is …