Fast iterative image restoration with a spatially varying PSF

James G. Nagy; Dianne P. O'Leary

doi:10.1117/12.279513

24 October 1997 Fast iterative image restoration with a spatially varying PSF

James G. Nagy, Dianne P. O'Leary

Proceedings Volume 3162, Advanced Signal Processing: Algorithms, Architectures, and Implementations VII; (1997) https://doi.org/10.1117/12.279513
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

We describe how to efficiently apply a spatially-variant blurring operator using linear interpolation of measured point spread functions. Numerical experiments illustrate that substantially better resolution can be obtained at very little additional cost compared to piecewise constant interpolation.

Citation Download Citation

James G. Nagy and Dianne P. O'Leary "Fast iterative image restoration with a spatially varying PSF", Proc. SPIE 3162, Advanced Signal Processing: Algorithms, Architectures, and Implementations VII, (24 October 1997); https://doi.org/10.1117/12.279513

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available