Some Simple Mathematical Methods For Derivation Of Optical Image Quality Data From Edge Sharpness

I. Overington; M. B. Brown

doi:10.1117/12.955282

12 October 1977 Some Simple Mathematical Methods For Derivation Of Optical Image Quality Data From Edge Sharpness

I. Overington, M. B. Brown

Proceedings Volume 0098, Assessment of Imaging Systems I; (1977) https://doi.org/10.1117/12.955282
Event: Assessment of Imaging Systems, 1976, London, United Kingdom

Abstract

Of the various methods available for evaluation of imaging performance of optical systems those which are most useful for application 'in the field' are those based on measurement of the quality of photographic images of edges. However, with such methods it is usually necessary to estimate the 'best' edge profile in the presence of noise, after which the edge must be differentiated to yield the line spread function and further processed to yield either the point spread function or the MTF. It is thus desirable to have available a reliable curve fitting facility in order to automate the analysis of edge data, or to have a means of rapid assessment manually of the spread functions and MTF associated with a given visually fitted 'best' edge profile. Simple but effective procedures will be discussed which provide widely applicable methods of dealing with edge data both automatically and manually.

Citation Download Citation

I. Overington and M. B. Brown "Some Simple Mathematical Methods For Derivation Of Optical Image Quality Data From Edge Sharpness", Proc. SPIE 0098, Assessment of Imaging Systems I, (12 October 1977); https://doi.org/10.1117/12.955282

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