Optical dynamic range compression deconvolution and correlation using organic photorefractive materials

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

doi:10.1117/12.884117

26 April 2011 Optical dynamic range compression deconvolution and correlation using organic photorefractive materials

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

Proceedings Volume 8055, Optical Pattern Recognition XXII; 80550I (2011) https://doi.org/10.1117/12.884117
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Bahareh Haji-saeed, Jed Khoury, Charles L. Woods, John Kierstead, Nasser Peyghambarian, and Michiharu Yamamoto "Optical dynamic range compression deconvolution and correlation using organic photorefractive materials", Proc. SPIE 8055, Optical Pattern Recognition XXII, 80550I (26 April 2011); https://doi.org/10.1117/12.884117

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