A system for estimating optics blur PSFs from test chart images

Radka Tezaur; Tetsuji Kamata; Li Hong; Stephen S. Slonaker

doi:10.1117/12.2081458

27 February 2015 A system for estimating optics blur PSFs from test chart images

Radka Tezaur, Tetsuji Kamata, Li Hong, Stephen S. Slonaker

Proceedings Volume 9404, Digital Photography XI; 94040D (2015) https://doi.org/10.1117/12.2081458
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

Camera lenses suffer from aberrations that can cause noticeable blur in captured images, especially when large apertures are used. With very small apertures, images become less sharp due to diffraction. The blur that is due to camera optics can be removed by deconvolution if the PSFs that accurately characterize this blur are available. In this paper we describe a new system developed by us that allows estimating optics blur PSFs in an efficient manner. It consists of a new test chart with black square tiles containing small white random circle pattern and software for fully automatic processing of captured images of this chart. It can process a high resolution image of the chart and produce PSF estimates for a dense set of field position covering the entire image frame within a couple of minutes. The system has been tested with several different lenses and the estimated PSFs have been successfully used for removing optics blur from a variety of different images.

Citation Download Citation

Radka Tezaur, Tetsuji Kamata, Li Hong, and Stephen S. Slonaker "A system for estimating optics blur PSFs from test chart images", Proc. SPIE 9404, Digital Photography XI, 94040D (27 February 2015); https://doi.org/10.1117/12.2081458

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