Nonlinear Image Restoration: What We Have Learned

Donald C. Wells

doi:10.1117/12.959797

21 November 1980 Nonlinear Image Restoration: What We Have Learned

Donald C. Wells

Proceedings Volume 0264, Applications of Digital Image Processing to Astronomy; (1980) https://doi.org/10.1117/12.959797
Event: 1981 Los Angeles Technical Symposium, 1980, Los Angeles, United States

Abstract

The first nonlinear image restoration algorithms were devised a little more than a decade ago. The subsequent development of this subject by a number of research workers has produced a rich and fascinating literature. But because much of it is located in unfamiliar journals and publications, many astronomical newcomers to the field may be unaware of this work. It has been known since the discovery of the nonlinear image restoration techniques that they have pronounced performance advantages over linear restoration techniques in astronomical applications, and many of the published examples of nonlinear restorations of imagery have involved astronomical data. The new image detector systems appearing in optical astronomy, particularly CCDs, produce images of a quality that fully justifies the employment of sophisticated algorithms for the extraction of the maximum amount of information from the data. This review of the literature has been prepared in the hope that it will encourage new astronomical workers to enter into it.

Citation Download Citation

Donald C. Wells "Nonlinear Image Restoration: What We Have Learned", Proc. SPIE 0264, Applications of Digital Image Processing to Astronomy, (21 November 1980); https://doi.org/10.1117/12.959797

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