Optical dynamic range compression deconvolution and correlation using organic photorefractive materials

Jed Khoury; Bahareh Haji-Saeed; Charles L. Woods; John Kierstead; Nasser Peyghambarian; Michiharu Yamamoto

doi:10.1117/12.884117

Optical dynamic range compression deconvolution and correlation using organic photorefractive materials

Jed Khoury, Bahareh Haji-Saeed, Charles L. Woods, John Kierstead, Nasser Peyghambarian, Michiharu Yamamoto

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

Abstract

Imaging in atmospheric turbulence and target recognition in cluttered environments have been research topics for many years. Currently, there are some well-established techniques for image restoration and recognition; however, if the atmospheric turbulence becomes a severe scattering medium and the surrounding environment is very cluttered, most conventional methods, such as inverse filtering and Wiener filtering, will be inadequate for correcting and recognizing the captured images. In this paper, we experimentally demonstrate nonlinear dynamic range compression techniques for image restoration and correlation via two-beam coupling and four wave mixing in organic photorefractive films.

Original language	English (US)
Title of host publication	Optical Pattern Recognition XXII
DOIs	https://doi.org/10.1117/12.884117
State	Published - 2011
Event	Optical Pattern Recognition XXII - Orlando, FL, United States Duration: Apr 28 2011 → Apr 29 2011

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8055
ISSN (Print)	0277-786X

Other

Other	Optical Pattern Recognition XXII
Country/Territory	United States
City	Orlando, FL
Period	4/28/11 → 4/29/11

Keywords

nonlinear optical signal processing
optical nonlinearities in organic materials
photorefractive optics

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.884117

Cite this

Khoury, J., Haji-Saeed, B., Woods, C. L., Kierstead, J., Peyghambarian, N., & Yamamoto, M. (2011). Optical dynamic range compression deconvolution and correlation using organic photorefractive materials. In Optical Pattern Recognition XXII Article 80550I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8055). https://doi.org/10.1117/12.884117

Optical dynamic range compression deconvolution and correlation using organic photorefractive materials. / Khoury, Jed; Haji-Saeed, Bahareh; Woods, Charles L. et al.
Optical Pattern Recognition XXII. 2011. 80550I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8055).

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

Khoury, J, Haji-Saeed, B, Woods, CL, Kierstead, J, Peyghambarian, N & Yamamoto, M 2011, Optical dynamic range compression deconvolution and correlation using organic photorefractive materials. in Optical Pattern Recognition XXII., 80550I, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8055, Optical Pattern Recognition XXII, Orlando, FL, United States, 4/28/11. https://doi.org/10.1117/12.884117

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abstract = "Imaging in atmospheric turbulence and target recognition in cluttered environments have been research topics for many years. Currently, there are some well-established techniques for image restoration and recognition; however, if the atmospheric turbulence becomes a severe scattering medium and the surrounding environment is very cluttered, most conventional methods, such as inverse filtering and Wiener filtering, will be inadequate for correcting and recognizing the captured images. In this paper, we experimentally demonstrate nonlinear dynamic range compression techniques for image restoration and correlation via two-beam coupling and four wave mixing in organic photorefractive films.",

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AU - Peyghambarian, Nasser

AU - Yamamoto, Michiharu

PY - 2011

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N2 - Imaging in atmospheric turbulence and target recognition in cluttered environments have been research topics for many years. Currently, there are some well-established techniques for image restoration and recognition; however, if the atmospheric turbulence becomes a severe scattering medium and the surrounding environment is very cluttered, most conventional methods, such as inverse filtering and Wiener filtering, will be inadequate for correcting and recognizing the captured images. In this paper, we experimentally demonstrate nonlinear dynamic range compression techniques for image restoration and correlation via two-beam coupling and four wave mixing in organic photorefractive films.

AB - Imaging in atmospheric turbulence and target recognition in cluttered environments have been research topics for many years. Currently, there are some well-established techniques for image restoration and recognition; however, if the atmospheric turbulence becomes a severe scattering medium and the surrounding environment is very cluttered, most conventional methods, such as inverse filtering and Wiener filtering, will be inadequate for correcting and recognizing the captured images. In this paper, we experimentally demonstrate nonlinear dynamic range compression techniques for image restoration and correlation via two-beam coupling and four wave mixing in organic photorefractive films.

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KW - optical nonlinearities in organic materials

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Optical dynamic range compression deconvolution and correlation using organic photorefractive materials

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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