Near-Infrared Guided Color Image Dehazing

Near-infrared (NIR) light has stronger penetration capability than visible light due to its long wavelength, thus being less scattered by particles in the air. This makes it desirable for image dehazing to unveil details of distant objects in landscape photographs. In this paper, we propose an improved image dehazing scheme using a pair of color and NIR images, which effectively estimates the airlight color and transfers details from the NIR. A two-stage dehazing method is proposed by exploiting the dissimilarity between RGB and NIR for airlight color estimation, followed by a dehazing procedure through an optimization framework. Experiments on captured haze images show that our method can achieve substantial improvements on the detail recovery and the color distribution over the existing image dehazing algorithms.


Publié dans:
Proc. IEEE 20th International Conference on Image Processing (ICIP), 2363-2367
Présenté à:
IEEE 20th International Conference on Image Processing (ICIP), Melbourne, Australia, September 15-18, 2013
Année
2013
Mots-clefs:
Note:
Received one of the three Best (Open) Paper Awards given at the conference.
Laboratoires:




 Notice créée le 2013-09-23, modifiée le 2019-03-31

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