A new approach to degraded image processing based on two-dimensional parameter-induced stochastic resonance

Bohou Xu, Yibing Yang, Zhong-Ping Jiang, Daniel W. Repperger

Research output: Contribution to journalArticle

Abstract

A modified two-dimensional parameter-induced stochastic resonance (2D-PSR) system is proposed. Both theoretical and simulation results indicate that the 2D-PSR system performs a resonant-like behavior when system parameters are properly adjusted. When applied to degraded image processing, 2D-PSR technique is proved to be able to attain higher SNR gain than traditional linear filters. Due to its strong robustness to environmental changes, adaptability, and complementarities with other methods, the proposed 2D-PSR technique turns out to be promising in the field of image processing.

Original languageEnglish (US)
Pages (from-to)159-174
Number of pages16
JournalCMES - Computer Modeling in Engineering and Sciences
Volume57
Issue number2
StatePublished - 2010

Fingerprint

2-D Systems
Stochastic Resonance
Image Processing
Image processing
Linear Filter
Complementarity
Adaptability
Robustness
Simulation

Keywords

  • Image de-noising
  • Nonlinear system
  • Stochastic resonance

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Modeling and Simulation

Cite this

A new approach to degraded image processing based on two-dimensional parameter-induced stochastic resonance. / Xu, Bohou; Yang, Yibing; Jiang, Zhong-Ping; Repperger, Daniel W.

In: CMES - Computer Modeling in Engineering and Sciences, Vol. 57, No. 2, 2010, p. 159-174.

Research output: Contribution to journalArticle

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