Real-time digital autofocusing using a priori estimated set of PSFs

Sunghyun Hwang; Kiman Kim; Jeongho Shin; Joonki Paik; Besma Abidi; Mongi Abidi

doi:10.1117/12.526683

18 May 2004 Real-time digital autofocusing using a priori estimated set of PSFs

Sunghyun Hwang, Kiman Kim, Jeongho Shin, Joonki Paik, Besma Abidi, Mongi Abidi

Proceedings Volume 5297, Real-Time Imaging VIII; (2004) https://doi.org/10.1117/12.526683
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

This paper proposes a real-time digital auto-focusing algorithm using a priori estimated set of point spread functions (PSFs). A priori set of PSFs are estimated by establishing the relation between two-dimensional PSF and onedimensional step response whose elements are samples of profile of degraded step edge. From the priori estimated set, the proposed auto-focusing algorithm can select the optimal PSF by the focusing criterion based on the frequency domain analysis. We then use the constrained least square (CLS) filter to obtain the in-focused image with the estimated optimal PSF. The proposed algorithm can be implemented in real-time because the set of PSFs are already estimated and the filtering is performed in the frequency domain.

Citation Download Citation

Sunghyun Hwang, Kiman Kim, Jeongho Shin, Joonki Paik, Besma Abidi, and Mongi Abidi "Real-time digital autofocusing using a priori estimated set of PSFs", Proc. SPIE 5297, Real-Time Imaging VIII, (18 May 2004); https://doi.org/10.1117/12.526683

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