Real-time holographic deconvolution for one-way image transmission through distorting media

Haji-saeed, Bahareh; Pyburn, Dana; Leon, R.; Sengupta, Sandip; Goodhue, W. D.; Testorf, Markus E.; Kierstead, John; Khoury, Jed; Woods, Charles L.

doi:10.1117/1.1768182

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Nonlinear dynamic range compression via photorefractive two-beam coupling may have significant applications in image transmission through atmospheric turbulence 15 , correcting astronomical images, image restoration, and object recognition and identification. Our nonlinear compression deconvolution via two-beam coupling is supported by theoretical modeling and computer simulations.…”

Section: Introductionmentioning

confidence: 99%

Optical dynamic range compression deconvolution and correlation using organic photorefractive materials

Haji-saeed

Khoury

Woods

et al. 2011

Optical Pattern Recognition XXII

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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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Section: Introductionmentioning

confidence: 99%

Optical dynamic range compression deconvolution and correlation using organic photorefractive materials

Haji-saeed

Khoury

Woods

et al. 2011

Optical Pattern Recognition XXII

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Spectrally variable two-beam coupling nonlinear deconvolution

Haji-saeed¹,

Sengupta²,

Goodhue³

et al. 2007

Appl. Opt.

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In previous work, we introduced a dynamic range compression-based technique for image correction using nonlinear deconvolution; the impulse response of the distortion function and the distorted image are jointly transformed to pump a clean reference beam in a photorefractive two-beam coupling arrangement. The Fourier transform of the pumped reference beam contains the deconvolved image and its conjugate. Here we extend our work to spectrally variable dynamic range compression. This approach allows the retrieval of distorted signals embedded in a very high noise environment and does not require one to work with a very high beam ratio as in our previous work. Resolution recovery of blurred noisy images is demonstrated for several different types of image blur.

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Nonlinear dynamic range compression deconvolution

et al. 2006

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We introduce a dynamic range image compression technique for nonlinear deconvolution; the impulse response of the distortion function and the noisy distorted image are jointly transformed to pump a clean reference beam in a two-beam coupling arrangement. The Fourier transform of the pumped reference beam contains the deconvolved image and its conjugate. In contrast to standard deconvolution approaches, for which noise can be a limiting factor in the performance, this approach allows the retrieval of distorted signals embedded in a very high-noise environment.

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Real-time holographic deconvolution for one-way image transmission through distorting media

Cited by 3 publications

References 7 publications

Optical dynamic range compression deconvolution and correlation using organic photorefractive materials

Optical dynamic range compression deconvolution and correlation using organic photorefractive materials

Spectrally variable two-beam coupling nonlinear deconvolution

Nonlinear dynamic range compression deconvolution

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