Maximum Entropy Principle in Image Restoration

Mammographic image restoration using maximum entropy deconvolution.

An image restoration approach based on a Bayesian maximum entropy method (MEM) has been applied to a radiological image deconvolution problem, that of reduction of geometric blurring in magnification mammography. The aim of the work is to demonstrate an improvement in image spatial resolution in realistic noisy radiological images with no associated penalty in terms of reduction in the signal-t...

Principle of Maximum Entropy for Histogram Transformation and Image Enhancement

In this paper, we present a histogram transformation technique which can be used for image enhancement in 2D images. It is based on the application of the Principle of Maximum Entropy (PME) for histogram modification. Firstly, a PME problem is proposed in the context of the nonextensive entropy and its implicit solution is presented. Then, an iterative scheme is used to get the solution with a ...

Passive Millimeter-wave Image Restoration using Maximum Entropy Method with

Passive millimeter-wave (PMMW) image have an inherently poor resolution and highly blurred due to limited aperture dimension and the consequent diffraction limits thus requiring specialized sophisticated restoration algorithm before the image can be used for any useful purposes. In recent years many powerful algorithms based on Bayesian statistical concept are developed. These algorithms are no...

The Relevance of Maximum Entropy Production Principle and Maximum Information Entropy Principle in Biology

We start this talk posing the question, is there any physical principle that can serve as a selection principle in biology too? One of the first undertakings in this direction, conducted by Prigogine and Wiame [1] noticed correctly that biological processes are irreversible and as such should be described within irreversible thermodynamics. Since irreversible processes are characterized by entr...

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