inverse problems in imaging systems and the general bayesian inversion frawework

Inverse Problems in Imaging Systems and the General Bayesian Inversion Frawework

In this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. Then a common general forward modeling for them is given and the corresponding inversion problem is presented. Then, after showing the inadequacy of the classical analytical and least square methods for these ill posed inverse problems, a Baye...

Inverse problems in imaging systems and the general Bayesian inversion frawework

In this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. Then a common general forward modeling for them is given and the corresponding inversion problem is presented. Then, after showing the inadequacy of the classical analytical and least square methods for these ill posed inverse problems, a Baye...

Inverse Problems in Imaging Systems and General Bayesian Inversion Framework

In this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. Then a common general forward modeling for them is given and the corresponding inversion problem is presented. Then, after showing the inadequacy of the classical analytical and least square methods for these ill posed inverse problems, a Baye...

Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them

Sha Zhu, Ali Mohammad-Djafari, Xiang Li and Junjie Mao Laboratoire des Signaux et Systèmes, UMR8506 CNRS-SUPELEC-Univ.Paris-Sud XI, Supélec, Plateau de Moulon, 3 rue Juliot-Curie, 91192 Gif-sur-Yvette, France; Research Institute of Space Information Technology, School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, Hunan, P.R.China; Research Ce...

A hierarchical Bayesian-MAP approach to inverse problems in imaging

We present a novel approach to inverse problems in imaging based on a hierarchical Bayesian-MAP (HB-MAP) formulation. In this paper we specifically focus on the difficult and basic inverse problem of multi-sensor (tomographic) imaging wherein the source object of interest is viewed from multiple directions by independent sensors. Given the measurements recorded by these sensors, the problem is ...

Mini Workshop on Bayesian Inverse Problems and Imaging