Abstract

An algorithm is described that removes the noise from images without causing blurring or other distortions of edges. The problem of noise removal is posed as a restoration of an uncorrupted image, given additive noise. The restoration problem is solved by using a new minimization strategy called mean-field annealing (MFA). An a priori statistical model of the image is chosen that drives the minimization toward solutions that are locally homogeneous. The strategy for MFA is derived, and the resulting algorithm is discussed. Applications of the algorithm to both synthetic images and real images are presented.

© 1989 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Mean-field annealing for phase unwrapping

Sebastiano Stramaglia, Luciano Guerriero, Guido Pasquariello, and Nicola Veneziani
Appl. Opt. 38(8) 1377-1383 (1999)

Mean-field approximation minimizes relative entropy

Griff L. Bilbro, Wesley E. Snyder, and Reinhold C. Mann
J. Opt. Soc. Am. A 8(2) 290-294 (1991)

Area-adaptive simulated annealing for image reconstruction and restoration

Peter F. Jones, Brian Lim, and George J. M. Aitken
Appl. Opt. 33(17) 3732-3739 (1994)

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 OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA 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 OSA member, or as an authorized user of your institution.

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

Figures (23)

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

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

Equations (53)

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

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

Metrics

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

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