Correction of defective pixels for medical and space imagers based on ising theory

Eliahu Cohen; Moriel Shnitser; Tsvika Avraham; Ofer Hadar

doi:10.1117/12.2061278

Correction of defective pixels for medical and space imagers based on ising theory

Eliahu Cohen, Moriel Shnitser, Tsvika Avraham, Ofer Hadar

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

2 Scopus citations

Abstract

We propose novel models for image restoration based on statistical physics. We investigate the affinity between these fields and describe a framework from which interesting denoising algorithms can be derived: Ising-like models and simulated annealing techniques. When combined with known predictors such as Median and LOCO-I, these models become even more effective. In order to further examine the proposed models we apply them to two important problems: (i) Digital Cameras in space damaged from cosmic radiation. (ii) Ultrasonic medical devices damaged from speckle noise. The results, as well as benchmark and comparisons, suggest in most of the cases a significant gain in PSNR and SSIM in comparison to other filters.

Original language	English
Title of host publication	Applications of Digital Image Processing XXXVII
Editors	Andrew G. Tescher
Publisher	SPIE
ISBN (Electronic)	9781628412444
DOIs	https://doi.org/10.1117/12.2061278
State	Published - 2014
Externally published	Yes
Event	Applications of Digital Image Processing XXXVII - San Diego, United States Duration: 18 Aug 2014 → 21 Aug 2014

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9217
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Applications of Digital Image Processing XXXVII
Country/Territory	United States
City	San Diego
Period	18/08/14 → 21/08/14

Bibliographical note

Publisher Copyright:
© 2014 SPIE.

Keywords

Hot pixels
Image restoration
Ising model
Medical imagers
Simulated annealing
Space imagers
Speckle noise
Statistical physics

Access to Document

10.1117/12.2061278

Cite this

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title = "Correction of defective pixels for medical and space imagers based on ising theory",

abstract = "We propose novel models for image restoration based on statistical physics. We investigate the affinity between these fields and describe a framework from which interesting denoising algorithms can be derived: Ising-like models and simulated annealing techniques. When combined with known predictors such as Median and LOCO-I, these models become even more effective. In order to further examine the proposed models we apply them to two important problems: (i) Digital Cameras in space damaged from cosmic radiation. (ii) Ultrasonic medical devices damaged from speckle noise. The results, as well as benchmark and comparisons, suggest in most of the cases a significant gain in PSNR and SSIM in comparison to other filters.",

keywords = "Hot pixels, Image restoration, Ising model, Medical imagers, Simulated annealing, Space imagers, Speckle noise, Statistical physics",

author = "Eliahu Cohen and Moriel Shnitser and Tsvika Avraham and Ofer Hadar",

note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Applications of Digital Image Processing XXXVII ; Conference date: 18-08-2014 Through 21-08-2014",

year = "2014",

doi = "10.1117/12.2061278",

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editor = "Tescher, {Andrew G.}",

booktitle = "Applications of Digital Image Processing XXXVII",

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Cohen, E, Shnitser, M, Avraham, T & Hadar, O 2014, Correction of defective pixels for medical and space imagers based on ising theory. in AG Tescher (ed.), Applications of Digital Image Processing XXXVII., 921713, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9217, SPIE, Applications of Digital Image Processing XXXVII, San Diego, United States, 18/08/14. https://doi.org/10.1117/12.2061278

Correction of defective pixels for medical and space imagers based on ising theory. / Cohen, Eliahu; Shnitser, Moriel; Avraham, Tsvika et al.
Applications of Digital Image Processing XXXVII. ed. / Andrew G. Tescher. SPIE, 2014. 921713 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9217).

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

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AB - We propose novel models for image restoration based on statistical physics. We investigate the affinity between these fields and describe a framework from which interesting denoising algorithms can be derived: Ising-like models and simulated annealing techniques. When combined with known predictors such as Median and LOCO-I, these models become even more effective. In order to further examine the proposed models we apply them to two important problems: (i) Digital Cameras in space damaged from cosmic radiation. (ii) Ultrasonic medical devices damaged from speckle noise. The results, as well as benchmark and comparisons, suggest in most of the cases a significant gain in PSNR and SSIM in comparison to other filters.

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Correction of defective pixels for medical and space imagers based on ising theory

Abstract

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Keywords

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