Stochastic resonance: An approach for enhanced medical image processing

Renbin Peng, Hao Chen, Prarnod K. Varshney, James H. Michels

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

24 Scopus citations

Abstract

This paper presents a novel application of the stochastic resonance effect in medical image processing. Aiming to improve system performance, two noise modified image processing schemes are proposed. Performances of several medical image processing systems are shown to improve when suitable stochastic resonance noise is added.

Original languageEnglish (US)
Title of host publication2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA
PublisherIEEE Computer Society
Pages253-256
Number of pages4
ISBN (Print)9781424418138
DOIs
StatePublished - Jan 1 2007
Event2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA - Bethesda, MD, United States
Duration: Nov 8 2007Nov 9 2007

Publication series

Name2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA

Other

Other2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA
CountryUnited States
CityBethesda, MD
Period11/8/0711/9/07

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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    Peng, R., Chen, H., Varshney, P. K., & Michels, J. H. (2007). Stochastic resonance: An approach for enhanced medical image processing. In 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA (pp. 253-256). [4400932] (2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA). IEEE Computer Society. https://doi.org/10.1109/LSSA.2007.4400932