Fast iterative image restoration with a spatially varying PSF | Zendy

James G. Nagy | Zendy; Dianne P. O’Leary | Zendy

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Fast iterative image restoration with a spatially varying PSF

Author(s) -

James G. Nagy,

Dianne P. O’Leary

Publication year - 1997

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 - 10.1117/12.279513

Subject(s) - interpolation (computer graphics) , computer science , linear interpolation , piecewise , algorithm , image resolution , iterative method , image restoration , piecewise linear function , constant (computer programming) , point spread function , image scaling , operator (biology) , computer vision , image (mathematics) , mathematical optimization , mathematics , artificial intelligence , image processing , pattern recognition (psychology) , mathematical analysis , biochemistry , chemistry , repressor , transcription factor , gene , programming language

We describe how to efficiently apply a spatially-variant blurring operator using linear interpolation of measured pointspread functions. Numerical experiments illustrate that substantially better resolution can be obtained at very littleadditional cost compared to piecewise constant interpolation.Keywords: Conjugate gradient, image restoration, interpolation, preconditioner, space variant blur1. IntroductionObtaining medical and astronomical images is often quite expensive, so it is...

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