Literature DB >> 1634965

Blind deconvolution of quantum-limited incoherent imagery: maximum-likelihood approach.

T J Holmes1.   

Abstract

Previous research presented by the author and others into maximum-likelihood image restoration for incoherent imagery is extended to consider problems of blind deconvolution in which the impulse response of the system is assumed to be unknown. Potential applications that motivate this study are wide-field and confocal fluorescence microscopy, although applications in astronomy and infrared imaging are foreseen as well. The methodology incorporates the iterative expectation-maximization algorithm. Although the precise impulse response is assumed to be unknown, some prior knowledge about characteristics of the impulse response is used. In preliminary simulation studies that are presented, the circular symmetry and the band-limited nature of the impulse response are used as such. These simulations demonstrate the potential utility and present limitations of these methods.

Mesh:

Year:  1992        PMID: 1634965     DOI: 10.1364/josaa.9.001052

Source DB:  PubMed          Journal:  J Opt Soc Am A        ISSN: 0740-3232            Impact factor:   2.129


  16 in total

1.  Image correlation spectroscopy of randomly distributed disks.

Authors:  Kathrin Spendier; James L Thomas
Journal:  J Biol Phys       Date:  2011-08-18       Impact factor: 1.365

2.  Optimized deconvolution for maximum axial resolution in three-dimensional aberration-corrected scanning transmission electron microscopy.

Authors:  Ranjan Ramachandra; Niels de Jonge
Journal:  Microsc Microanal       Date:  2011-12-08       Impact factor: 4.127

Review 3.  Image analysis in fluorescence microscopy: bacterial dynamics as a case study.

Authors:  Sven van Teeffelen; Joshua W Shaevitz; Zemer Gitai
Journal:  Bioessays       Date:  2012-03-13       Impact factor: 4.345

4.  An open-source deconvolution software package for 3-D quantitative fluorescence microscopy imaging.

Authors:  Y Sun; P Davis; E A Kosmacek; F Ianzini; M A Mackey
Journal:  J Microsc       Date:  2009-12       Impact factor: 1.758

5.  A Model-based approach for microvasculature structure distortion correction in two-photon fluorescence microscopy images.

Authors:  Lam Dao; Brian Glancy; Bertrand Lucotte; Lin-Ching Chang; Robert S Balaban; Li-Yueh Hsu
Journal:  J Microsc       Date:  2015-07-29       Impact factor: 1.758

Review 6.  Bending the rules: widefield microscopy and the Abbe limit of resolution.

Authors:  Jolien S Verdaasdonk; Andrew D Stephens; Julian Haase; Kerry Bloom
Journal:  J Cell Physiol       Date:  2014-02       Impact factor: 6.384

7.  AIDA: an adaptive image deconvolution algorithm with application to multi-frame and three-dimensional data.

Authors:  Erik F Y Hom; Franck Marchis; Timothy K Lee; Sebastian Haase; David A Agard; John W Sedat
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2007-06       Impact factor: 2.129

8.  Application of regularized Richardson-Lucy algorithm for deconvolution of confocal microscopy images.

Authors:  M Laasmaa; M Vendelin; P Peterson
Journal:  J Microsc       Date:  2011-02-15       Impact factor: 1.758

Review 9.  The ion channel inverse problem: neuroinformatics meets biophysics.

Authors:  Robert C Cannon; Giampaolo D'Alessandro
Journal:  PLoS Comput Biol       Date:  2006-08-25       Impact factor: 4.475

10.  Blind deblurring reconstruction technique with applications in PET imaging.

Authors:  Heng Li; Osama R Mawlawi; Ronald X Zhu; Yibin Zheng
Journal:  Int J Biomed Imaging       Date:  2009-06-11
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