Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Bayesian-Based Iterative Method of Image Restoration

Not Accessible

Your library or personal account may give you access

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.

© 1972 Optical Society of America

Full Article  |  PDF Article
More Like This
Restoration of bilinearly distorted images: II. Bayesian method

Bahaa E. A. Saleh and Madjid Rabbani
J. Opt. Soc. Am. 73(1) 71-75 (1983)

Restoring with Maximum Likelihood and Maximum Entropy*

B. Roy Frieden
J. Opt. Soc. Am. 62(4) 511-518 (1972)

Iterative image restoration considering visibility

Yoshiki Ichioka and Nobuyoshi Nakajima
J. Opt. Soc. Am. 71(8) 983-988 (1981)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (7)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (14)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved