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 proceedingConference contribution


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 languageEnglish (US)
Title of host publicationOptical Pattern Recognition XXII
StatePublished - 2011
EventOptical Pattern Recognition XXII - Orlando, FL, United States
Duration: Apr 28 2011Apr 29 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherOptical Pattern Recognition XXII
Country/TerritoryUnited States
CityOrlando, FL


  • 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


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