Automatic assessment and reduction of noise using edge pattern analysis in non-linear image enhancement | Zendy

Daniel J. Jobson | Zendy; Zia-ur Rahman | Zendy; Glenn A. Woodell | Zendy; Glenn D. Hines | Zendy

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<title>Automatic assessment and reduction of noise using edge pattern analysis in non-linear image enhancement</title>

Author(s) -

Daniel J. Jobson,

Zia-ur Rahman,

Glenn A. Woodell,

Glenn D. Hines

Publication year - 2004

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.539786

Subject(s) - noise (video) , computer science , noise reduction , reduction (mathematics) , artificial intelligence , image noise , enhanced data rates for gsm evolution , image processing , visibility , image (mathematics) , computer vision , pattern recognition (psychology) , variable (mathematics) , dark frame subtraction , image restoration , mathematics , optics , physics , mathematical analysis , geometry

Noise is the primary visibility limit in the process of non-linear image enhancement, and is no longer a statistically stable additive noise in the post-enhancement image. Therefore novel approaches are needed to both assess and reduce spatially variable noise at this stage in overall image processing. Here we will examine the use of edge pattern analysis both for automatic assessment of spatially variable noise and as a foundation for new noise reduction methods.

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