Nighttime image dehazing using local atmospheric selection rule and weighted entropy for visible-light systems

Dubok Park; David K. Han; Hanseok Ko

doi:10.1117/1.OE.56.5.050501

3 May 2017 Nighttime image dehazing using local atmospheric selection rule and weighted entropy for visible-light systems

Dubok Park, David K. Han, Hanseok Ko

Author Affiliations +

Optical Engineering, Vol. 56, Issue 5, 050501 (May 2017). https://doi.org/10.1117/1.OE.56.5.050501

Abstract

Optical imaging systems are often degraded by scattering due to atmospheric particles, such as haze, fog, and mist. Imaging under nighttime haze conditions may suffer especially from the glows near active light sources as well as scattering. We present a methodology for nighttime image dehazing based on an optical imaging model which accounts for varying light sources and their glow. First, glow effects are decomposed using relative smoothness. Atmospheric light is then estimated by assessing global and local atmospheric light using a local atmospheric selection rule. The transmission of light is then estimated by maximizing an objective function designed on the basis of weighted entropy. Finally, haze is removed using two estimated parameters, namely, atmospheric light and transmission. The visual and quantitative comparison of the experimental results with the results of existing state-of-the-art methods demonstrates the significance of the proposed approach.

Citation Download Citation

Dubok Park, David K. Han, and Hanseok Ko "Nighttime image dehazing using local atmospheric selection rule and weighted entropy for visible-light systems," Optical Engineering 56(5), 050501 (3 May 2017). https://doi.org/10.1117/1.OE.56.5.050501

Received: 20 February 2017; Accepted: 12 April 2017; Published: 3 May 2017

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