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

Blind deconvolution by means of the Richardson–Lucy algorithm

Not Accessible

Your library or personal account may give you access

Abstract

A blind deconvolution algorithm based on the Richardson–Lucy deconvolution algorithm is presented. Its performance in the presence of noise is found to be superior to that of other blind deconvolution algorithms. Results are presented and compared with results obtained from implementation of a Weiner filter blind deconvolution algorithm. The algorithm is developed further to incorporate functional forms of the point-spread function with unknown parameters. In the presence of noise the point-spread function can be evaluated with 1.0% error, and the object can be reconstructed with a quality near that of the deconvolution process with a known point-spread function.

© 1995 Optical Society of America

Full Article  |  PDF Article
More Like This
Strict a priori constraints for maximum-likelihood blind deconvolution

E. Thiébaut and J.-M. Conan
J. Opt. Soc. Am. A 12(3) 485-492 (1995)

Blind image deconvolution by means of asymmetric multiplicative iterative algorithm

Jianlin Zhang, Qiheng Zhang, and Guangming He
J. Opt. Soc. Am. A 25(3) 710-717 (2008)

Richardson–Lucy blind deconvolution of spectroscopic data with wavelet regularization

Hai Liu, Zhaoli Zhang, Sanya Liu, Tingting Liu, Luxin Yan, and Tianxu Zhang
Appl. Opt. 54(7) 1770-1775 (2015)

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 (13)

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 (7)

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 2024 | Optica Publishing Group. All Rights Reserved