Quasi-maximum likelihood blind deconvolution of images acquired through scattering media

Alexander M. Bronstein*, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We address the problem of restoration of images obtained through a scattering medium. We present an efficient quasi-maximum likelihood blind deconvolution approach based on the fast relative Newton algorithm and optimal distribution-shaping approach (sparsification), which allows to use simple and convenient sparsity prior for a wide class of images. Simulation results prove the efficiency of the proposed method.

Original languageEnglish
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationMacro to Nano
Pages352-355
Number of pages4
StatePublished - 2004
Externally publishedYes
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: 15 Apr 200418 Apr 2004

Publication series

Name2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume1

Conference

Conference2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Country/TerritoryUnited States
CityArlington, VA
Period15/04/0418/04/04

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