Restoration of thermal images distorted by the atmosphere, using predicted atmospheric modulation transfer function

D. Sadot; G. Lorman; R. Lapardon; N. S. Kopeika

doi:10.1016/1350-4495(94)00045-M

Restoration of thermal images distorted by the atmosphere, using predicted atmospheric modulation transfer function

D. Sadot, G. Lorman, R. Lapardon, N. S. Kopeika

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

Restoration of thermal images distorted by the atmosphere, detected with a focal plane array (FPA) Pt-Si thermal imaging system, is presented. The restoration method is based upon atmospheric modulation transfer function (MTF) analysis. Using turbulence and aerosol MTF prediction models, atmospheric distortions and image degradation are modeled. Restoration results indicate significant improvement in image quality. However, it is critical to include the unique shape of aerosol MTF when modeling atmospheric MTF in order to obtain good restoration.

Original language	English
Pages (from-to)	565-576
Number of pages	12
Journal	Infrared Physics and Technology
Volume	36
Issue number	2
DOIs	https://doi.org/10.1016/1350-4495(94)00045-M
State	Published - 1 Jan 1995

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Condensed Matter Physics

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10.1016/1350-4495(94)00045-M

Cite this

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title = "Restoration of thermal images distorted by the atmosphere, using predicted atmospheric modulation transfer function",

abstract = "Restoration of thermal images distorted by the atmosphere, detected with a focal plane array (FPA) Pt-Si thermal imaging system, is presented. The restoration method is based upon atmospheric modulation transfer function (MTF) analysis. Using turbulence and aerosol MTF prediction models, atmospheric distortions and image degradation are modeled. Restoration results indicate significant improvement in image quality. However, it is critical to include the unique shape of aerosol MTF when modeling atmospheric MTF in order to obtain good restoration.",

author = "D. Sadot and G. Lorman and R. Lapardon and Kopeika, {N. S.}",

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T1 - Restoration of thermal images distorted by the atmosphere, using predicted atmospheric modulation transfer function

AU - Sadot, D.

AU - Lorman, G.

AU - Lapardon, R.

AU - Kopeika, N. S.

PY - 1995/1/1

Y1 - 1995/1/1

N2 - Restoration of thermal images distorted by the atmosphere, detected with a focal plane array (FPA) Pt-Si thermal imaging system, is presented. The restoration method is based upon atmospheric modulation transfer function (MTF) analysis. Using turbulence and aerosol MTF prediction models, atmospheric distortions and image degradation are modeled. Restoration results indicate significant improvement in image quality. However, it is critical to include the unique shape of aerosol MTF when modeling atmospheric MTF in order to obtain good restoration.

AB - Restoration of thermal images distorted by the atmosphere, detected with a focal plane array (FPA) Pt-Si thermal imaging system, is presented. The restoration method is based upon atmospheric modulation transfer function (MTF) analysis. Using turbulence and aerosol MTF prediction models, atmospheric distortions and image degradation are modeled. Restoration results indicate significant improvement in image quality. However, it is critical to include the unique shape of aerosol MTF when modeling atmospheric MTF in order to obtain good restoration.

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U2 - 10.1016/1350-4495(94)00045-M

DO - 10.1016/1350-4495(94)00045-M

M3 - Article

AN - SCOPUS:0001600165

SN - 1350-4495

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EP - 576

JO - Infrared Physics and Technology

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IS - 2

ER -

Restoration of thermal images distorted by the atmosphere, using predicted atmospheric modulation transfer function

Abstract

ASJC Scopus subject areas

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