Share with Facebook
Tweet This
Post on reddit
Share with LinkedIn
Add to CiteULike
Add to Mendeley
Add to BibSonomyAbstract
This paper deals with the long-standing problem of reconstructing an optical object of known finite spatial extent from an image that is a noisy low-pass-filtered version of the object. The development of a number of iterative reconstruction algorithms in recent years has created a resurgence of interest in this topic. We consider several reconstruction algorithms from a point of view that illuminates their performance in the presence of noise. We also introduce a new iterative reconstruction algorithm and compare its performance with that of an earlier algorithm proposed by Gerchberg.
© 1980 Optical Society of America
Full Article | PDF ArticleOSA Recommended Articles
Junji Maeda and Kazumi Murata
Appl. Opt. 21(12) 2199-2204 (1982)
C. E. Morris, M. A. Richards, and M. H. Hayes
J. Opt. Soc. Am. A 4(1) 200-207 (1987)
Kanwai Peter Lo and Guy Indebetouw
Appl. Opt. 31(11) 1745-1753 (1992)