Self-filtering of noisy images via stochastic resonance

Dmitry V. Dylov, Jason W. Fleischer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nonlinear self-filtering and amplification of noisy, low-level images is demonstrated in a self-focusing photorefractive medium. Signal recovery depends sensitively on the parameters of the system and represents a new dynamical type of stochastic resonance.

Original languageEnglish (US)
Title of host publicationInternational Quantum Electronics Conference, IQEC 2009
PublisherOptical Society of America
ISBN (Print)9781557528698
StatePublished - Jan 1 2009
EventInternational Quantum Electronics Conference, IQEC 2009 - Baltimore, MD, United States
Duration: May 31 2009Jun 5 2009

Other

OtherInternational Quantum Electronics Conference, IQEC 2009
CountryUnited States
CityBaltimore, MD
Period5/31/096/5/09

Fingerprint

self focusing
Amplification
recovery
Recovery

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Cite this

Dylov, D. V., & Fleischer, J. W. (2009). Self-filtering of noisy images via stochastic resonance. In International Quantum Electronics Conference, IQEC 2009 Optical Society of America.
Dylov, Dmitry V. ; Fleischer, Jason W. / Self-filtering of noisy images via stochastic resonance. International Quantum Electronics Conference, IQEC 2009. Optical Society of America, 2009.
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Dylov, DV & Fleischer, JW 2009, Self-filtering of noisy images via stochastic resonance. in International Quantum Electronics Conference, IQEC 2009. Optical Society of America, International Quantum Electronics Conference, IQEC 2009, Baltimore, MD, United States, 5/31/09.

Self-filtering of noisy images via stochastic resonance. / Dylov, Dmitry V.; Fleischer, Jason W.

International Quantum Electronics Conference, IQEC 2009. Optical Society of America, 2009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Dylov DV, Fleischer JW. Self-filtering of noisy images via stochastic resonance. In International Quantum Electronics Conference, IQEC 2009. Optical Society of America. 2009