Near-Infrared Fusion for Photorealistic Image Dehazing

Scattering of light due to the presence of aerosol particles along the path of radiation causes atmospheric haze in images. This scattering is significantly less severe in longer wavelength bands than in shorter ones, thus the importance of near-infrared (NIR) information for dehazing color images. This paper first presents an adaptive hyperspectral al- gorithm that analyzes intensity inconsistencies across spectral bands. It then leverages the algorithm’s results to preserve photorealism of the visible color image during the dehazing. The color images are dehazed through a hyperspectral fusion of color and NIR images, taking into account any inconsistencies that can affect the photorealism. Our dehazing results on real images contain no halo or aliasing artifacts in hazy regions and successfully preserve the color image elsewhere.


Publié dans:
IS&T EI Proceedings
Présenté à:
Color Imaging: Displaying, Processing, Hardcopy, and Applications Session, at IS&T Electronic Imaging 2018, Burlingame, California, USA, January 28th - February 2nd 2018
Année
2018
Mots-clefs:
Note:
First two authors have equal contribution
Lien supplémentaire:
Laboratoires:




 Notice créée le 2018-02-26, modifiée le 2019-12-05

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