Optimal image acquisition by auto-defocusing

Tao Ma; Stanley J. Reeves

doi:10.1117/12.872630

24 January 2011 Optimal image acquisition by auto-defocusing

Tao Ma, Stanley J. Reeves

Proceedings Volume 7876, Digital Photography VII; 787605 (2011) https://doi.org/10.1117/12.872630
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

This paper presents an optimal image acquisition methodology by replacing the traditional birefringent filter with slight out-of-focus blur generated by the camera lens. Since many cameras already have adjustable lenses and auto-focus systems, our method can exploit existing hardware by simply changing the focusing strategy. During the image acquisition, the optimal defocus setting is automatically adapted to the power spectrum of the scene which is evaluated by a generic autocorrelation model. A criterion to estimate reconstruction errors without the baseband knowledge of the scene is developed in the paper. This metric helps the camera to choose the optimal focus settings. An optimal Wiener filter then recovers the captured scene and yields sharper images with reduced aliasing. The numerical and visual results show that our method is superior to current acquisition methods used by most digital cameras.

Citation Download Citation

Tao Ma and Stanley J. Reeves "Optimal image acquisition by auto-defocusing", Proc. SPIE 7876, Digital Photography VII, 787605 (24 January 2011); https://doi.org/10.1117/12.872630

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