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Image dehazing using spatially displaced images
Author(s): Sergei Voronin; Vitaly Kober; Artyom Makovetskii; Aleksei Voronin
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Paper Abstract

Images of outdoor scenes are often degraded by particles and water droplets in the atmosphere. Haze, fog, and smoke are such phenomena due to atmospheric absorption and scattering. Most image dehazing (haze removal) methods proposed for the last two decades employ image enhancing or restoration approach. Different variants of local adaptive algorithms for single image dehazing are suggested. These methods are successful when a haze-free image has higher contrast compared with that of the input hazy image. Other haze removal approaches estimate a dehazed image from the observed scene by solving an objective function whose parameters are adapted to local statistics of the hazed image inside a moving window. In this presentation we propose a new dehazing algorithm that utilizes several scene images. These images are captured in such a way to be spatially shifted relatively each other. Computer simulation results are provided to illustrate the performance of the proposed algorithm for restoration of hazed images.

Paper Details

Date Published: 6 September 2019
PDF: 8 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111372M (6 September 2019); doi: 10.1117/12.2529684
Show Author Affiliations
Sergei Voronin, Chelyabinsk State Univ. (Russian Federation)
Vitaly Kober, Chelyabinsk State Univ. (Russian Federation)
CICESE (Mexico)
Artyom Makovetskii, Chelyabinsk State Univ. (Russian Federation)
Aleksei Voronin, Chelyabinsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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