Blind image deconvolution by means of asymmetric multiplicative iterative algorithm

Abstract

A novel scheme for blind deconvolution is presented. Adapted from our previous multiplicative iterative algorithm, a more general scheme—the asymmetric multiplicative iterative algorithm—is derived. Additionally, in order to obtain a meaningful estimate, a penalized asymmetric multiplicative iterative algorithm is used to further improve the performance of this scheme. Results of a numerical experiment with the asymmetric multiplicative iterative algorithm are presented.

© 2008 Optical Society of America

Blind deconvolution by means of the Richardson–Lucy algorithm

D. A. Fish, A. M. Brinicombe, E. R. Pike, and J. G. Walker
J. Opt. Soc. Am. A 12(1) 58-65 (1995)

Blind deconvolution of a noisy degraded image

Jianlin Zhang, Qiheng Zhang, and Guangming He
Appl. Opt. 48(12) 2350-2355 (2009)

Blind deconvolution: multiplicative iterative algorithm

Jianlin Zhang, Qiheng Zhang, and Guangming He
Opt. Lett. 33(1) 25-27 (2008)

Initialization of iterative parametric algorithms for blind deconvolution of motion-blurred images

Vadim Loyev and Yitzhak Yitzhaky
Appl. Opt. 45(11) 2444-2452 (2006)

Iterative statistical approach to blind image deconvolution

Edmund Y. Lam and Joseph W. Goodman
J. Opt. Soc. Am. A 17(7) 1177-1184 (2000)