Abstract

Simulated annealing (SA) is a robust, stable, but computationally costly method for solving ill-posed image-restoration problems. We describe the use of a backprojection operator that identifies those regions of an object estimate that have the greatest likelihood of being in error at each step of the SA process. This reduces computational time by concentrating the computing effort of SA on those pixels most effective in reducing the reconstruction error. The performance of an area-adaptive SA algorithm is evaluated for the restoration of images blurred by a simple pillbox space-invariant and a biconical space-variant point-spread function typical of a depth-measuring optical system.

© 1994 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Analysis of the cost function used in simulated annealing for CT image reconstruction

Hideaki Haneishi, Tadaaki Masuda, Nagaaki Ohyama, Toshio Honda, and Jumpei Tsujiuchi
Appl. Opt. 29(2) 259-265 (1990)

Restoration of images of partially obscured objects

Peter F. Jones and George J. M. Aitken
J. Opt. Soc. Am. A 14(5) 1015-1023 (1997)

Reconstruction of objects from coded images by simulated annealing

Warren E. Smith, Harrison H. Barrett, and Richard G. Paxman
Opt. Lett. 8(4) 199-201 (1983)

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 (9)

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 (6)

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