Bayesian-Based Iterative Method of Image Restoration*

19724,055 citationsJournal Article

Authors

William Hadley Richardson · University of California, San Diego

Abstract

An iterative method of restoring degraded images was developed by treating images, point spread functions, and degraded images as probability-frequency functions and by applying Bayes’s theorem. The method functions effectively in the presence of noise and is adaptable to computer operation.

Topics & Keywords

Advanced Image Processing Techniques Image and Signal Denoising Methods Image Processing Techniques and Applications

UN Sustainable Development Goals

Sustainable cities and communities

Publication Details

Published in: Journal of the Optical Society of America

Volume 62, Issue 1, pp. 55-55

DOI: 10.1364/josa.62.000055

Field-Weighted Citation Impact: 6.88