Nonlinear restoration of diffused images via seeded instability

Dmitry V. Dylov, Laura Waller, Jason W. Fleischer

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


We demonstrate a nonlinear method for restoring the quality of diffused images. It works by introducing a self-focusing medium into the optical path and allowing the underlying correlations to grow as they propagate. More specifically, the method is a dynamical stochastic resonance in which a weak signal seeds an instability in the diffuse background. The resonance is determined by the transition point between competing instabilities, with optimal growth occurring when the spatial scale of the instability matches that of the object of interest. The results are presented within the general framework of nonlinear statistical optics and have implications for information theory, basic wave physics, and nonlinear system design.

Original languageEnglish (US)
Article number5887377
Pages (from-to)916-925
Number of pages10
JournalIEEE Journal on Selected Topics in Quantum Electronics
Issue number2
StatePublished - 2012

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering


  • Image detection
  • nonlinear dynamical systems
  • nonlinear optics
  • optical microscopy


Dive into the research topics of 'Nonlinear restoration of diffused images via seeded instability'. Together they form a unique fingerprint.

Cite this