Accurate image dehazing with three simultaneously captured hazed images

José Luis López-Martínez; Vitaly Kober; Vladimir Saptsin; Olga Kober

doi:10.1117/12.2529618

6 September 2019 Accurate image dehazing with three simultaneously captured hazed images

José Luis López-Martínez, Vitaly Kober, Vladimir Saptsin, Olga Kober

Proceedings Volume 11137, Applications of Digital Image Processing XLII; 111371K (2019) https://doi.org/10.1117/12.2529618
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

In this work, we capture hazed images with three similar cameras possessing a sufficiently large depth of field (wide angle lenses). So, the foreground, middle-ground and background of the scene appear sharp and clear. The cameras are located at the vertices of an isosceles right triangle and take the same part of the scene. We propose a restoration algorithm based on three observed degraded images. It is assumed that degraded images contain information about an original image, hazing function, and noise. A dehazing algorithm explicitly solves a linear system of equations derived from a quadratic objective function. Experimental results obtained with the proposed method are presented and discussed.

Citation Download Citation

José Luis López-Martínez, Vitaly Kober, Vladimir Saptsin, and Olga Kober "Accurate image dehazing with three simultaneously captured hazed images", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111371K (6 September 2019); https://doi.org/10.1117/12.2529618

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