An investigation of two-dimensional parameter-induced stochastic resonance and applications in nonlinear image processing

Yibing Yang, Zhongping Jiang, Bohou Xu, Daniel W. Repperger

Research output: Contribution to journalArticle


This paper aims at developing an elementary theory of two-dimensional (2D) parameter-induced stochastic resonance (PSR) to contribute to nonlinear image processing. In order to tackle the application of SR in image processing, where adding noise may not be an easy task, we propose to generalize the concept of PSR from the one-dimensional (1D) case to the 2D case. An interesting feature of this paper is that a rigorous analytical framework is developed based on the Fokker-Planck equation (FPE). Some applications to image processing are performed to demonstrate the effectiveness of the approaches based on the proposed theory of 2D PSR. It is believed that the PSR-based methodology as advocated in this paper provides a different, but promising perspective for applying SR techniques to nonlinear image processing.

Original languageEnglish (US)
Article number145207
JournalJournal of Physics A: Mathematical and Theoretical
Issue number14
StatePublished - Jul 24 2009


ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Modeling and Simulation
  • Mathematical Physics
  • Physics and Astronomy(all)

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