High dynamic range image acquisition using multiple images with different apertures

Tae Jang Park; In Kyu Park

doi:10.1117/1.OE.51.12.127002

11 December 2012 High dynamic range image acquisition using multiple images with different apertures

Tae Jang Park, In Kyu Park

Author Affiliations +

Optical Engineering, Vol. 51, Issue 12, 127002 (December 2012). https://doi.org/10.1117/1.OE.51.12.127002

Abstract

The authors propose a method to obtain a high dynamic range (HDR) image from multiple images with different exposure. Unlike conventional methods that use multiple images with different shutter speeds, the proposed method takes multiple images with identical and short shutter speeds but with different apertures. Consequently, the input low dynamic range image is less affected by scene change, while it has undesirable defocus blur due to different depth of field. In order to mitigate defocus blur of input images with larger apertures, we estimate the defocus map of each input image and use it as the spatially variant point spread function to deblur the image. Then, we extract the weight maps of input images, which are used to combine them to synthesize an HDR image. Our experimental results show that the proposed algorithm produces high-quality HDR images using a small number (typically three) of input images.

Citation Download Citation

Tae Jang Park and In Kyu Park "High dynamic range image acquisition using multiple images with different apertures," Optical Engineering 51(12), 127002 (11 December 2012). https://doi.org/10.1117/1.OE.51.12.127002

Published: 11 December 2012

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