Focus recovery for extended depth-of-field mobile imaging systems

Dan Lelescu; Kartik Venkataraman; Rob Mullis; Pravin Rao; Cheng Lu; Junqing Chen; Brian Keelan

doi:10.1117/12.824623

2 September 2009 Focus recovery for extended depth-of-field mobile imaging systems

Dan Lelescu, Kartik Venkataraman, Rob Mullis, Pravin Rao, Cheng Lu, Junqing Chen, Brian Keelan

Proceedings Volume 7443, Applications of Digital Image Processing XXXII; 74430H (2009) https://doi.org/10.1117/12.824623
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

We describe a solution for image restoration in a computational camera known as an extended depth of field (EDOF) system. The specially-designed optics produce point spread functions that are roughly invariant with object distance in a range. However, this invariance involves a trade-off with the peak sharpness of the lens. The lens blur is a function of lens field-height, and the imaging sensor introduces signal-dependent noise. In this context, the principal contributions of this paper are: a) the modeling of the EDOF focus recovery problem; and b) the adaptive EDOF focus recovery approach, operating in signal-dependent noise. The focus recovery solution is adaptive to complexities of an EDOF imaging system, and performs a joint deblurring and noise suppression. It also adapts to imaging conditions by accounting for the state of the sensor (e.g., low-light conditions).

Citation Download Citation

Dan Lelescu, Kartik Venkataraman, Rob Mullis, Pravin Rao, Cheng Lu, Junqing Chen, and Brian Keelan "Focus recovery for extended depth-of-field mobile imaging systems", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74430H (2 September 2009); https://doi.org/10.1117/12.824623

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