MAP restoration of blurred, photon-limited images via an expectation maximization algorithm

Author

Hebert, Thomas ; Leahy, Richard

Author_Institution

Dept. of Electr. Eng., Houston Univ., TX, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

2953

Abstract

A widely used approach to restoration of images degraded by Poisson noise has been to represent the degraded image as a linear transformation of the intact image plus zero-mean, uncorrelated additive noise. The explicit Poisson model is retained and the authors formulate maximum a posteriori (MAP) image restoration using homogeneous, isotropic Markov random field priors. For this purpose, a deterministic algorithm based upon the expectation maximization (EM) method of optimization is derived. The performance of candidate priors is compared

Keywords

Markov processes; optimisation; picture processing; MAP restoration; Poisson noise; blurred photon-limited images; deterministic algorithm; expectation maximization algorithm; homogeneous isotropic Markov random field priors; maximum a posteriori image restoration; optimization; Additive noise; Degradation; Image processing; Image restoration; Integrated circuit modeling; Markov random fields; Optimization methods; Pixel; Signal restoration; Virtual colonoscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.151022

Filename

151022