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

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

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	159-174
Number of pages	16
Journal	CMES - Computer Modeling in Engineering and Sciences
Volume	57
Issue number	2
State	Published - 2010

Keywords

Image de-noising
Nonlinear system
Stochastic resonance

ASJC Scopus subject areas

Software
Modeling and Simulation
Computer Science Applications

Cite this

@article{aa0f43c9647643c8b06d8a7575677d2d,

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

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.",

keywords = "Image de-noising, Nonlinear system, Stochastic resonance",

author = "Bohou Xu and Yibing Yang and Jiang, {Zhong Ping} and Repperger, {Daniel W.}",

year = "2010",

language = "English (US)",

volume = "57",

pages = "159--174",

journal = "CMES - Computer Modeling in Engineering and Sciences",

issn = "1526-1492",

publisher = "Tech Science Press",

number = "2",

}

TY - JOUR

T1 - A new approach to degraded image processing based on two-dimensional parameter-induced stochastic resonance

AU - Xu, Bohou

AU - Yang, Yibing

AU - Jiang, Zhong Ping

AU - Repperger, Daniel W.

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Image de-noising

KW - Nonlinear system

KW - Stochastic resonance

UR - http://www.scopus.com/inward/record.url?scp=77951971066&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77951971066&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:77951971066

SN - 1526-1492

VL - 57

SP - 159

EP - 174

JO - CMES - Computer Modeling in Engineering and Sciences

JF - CMES - Computer Modeling in Engineering and Sciences

IS - 2

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this