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

Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi

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

Technion-Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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 language	English
Title of host publication	2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	Macro to Nano
Pages	352-355
Number of pages	4
State	Published - 2004
Externally published	Yes
Event	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States Duration: 15 Apr 2004 → 18 Apr 2004

Publication series

Name	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume	1

Conference

Conference	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Country/Territory	United States
City	Arlington, VA
Period	15/04/04 → 18/04/04

Cite this

@inproceedings{2343153469f94c9d9621b5819be2f0a6,

title = "Quasi-maximum likelihood blind deconvolution of images acquired through scattering media",

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.",

author = "Bronstein, {Alexander M.} and Bronstein, {Michael M.} and Michael Zibulevsky and Zeevi, {Yehoshua Y.}",

year = "2004",

language = "אנגלית",

isbn = "0780383885",

series = "2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano",

pages = "352--355",

booktitle = "2004 2nd IEEE International Symposium on Biomedical Imaging",

note = "2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano ; Conference date: 15-04-2004 Through 18-04-2004",

}

Bronstein, AM, Bronstein, MM, Zibulevsky, M & Zeevi, YY 2004, Quasi-maximum likelihood blind deconvolution of images acquired through scattering media. in 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, vol. 1, pp. 352-355, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, Arlington, VA, United States, 15/04/04.

Quasi-maximum likelihood blind deconvolution of images acquired through scattering media. / Bronstein, Alexander M.; Bronstein, Michael M.; Zibulevsky, Michael et al.
2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004. p. 352-355 (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zeevi, Yehoshua Y.

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AB - 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.

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BT - 2004 2nd IEEE International Symposium on Biomedical Imaging

T2 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

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

Abstract

Publication series

Conference

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