Paper
7 September 2010 Improvement of visual perception in cloudy environments
Author Affiliations +
Abstract
A new iterative algorithm for the improvement of the visual perception in cloudy environments is presented. The proposed approach is based on an heuristic search algorithm used to estimate the depth map of a scene taken under bad weather conditions. By the use of the suggested algorithm, an undegraded signal can be locally estimated at in an iteratve way, increasing the confidence in the decision making in computer vision applications for human assistance. Computer simulation results obtained with the proposed algorithm are provided and discussed in terms of performance metrics and computational complexity.
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Francisco J. Arias and Victor H. Diaz-Ramirez "Improvement of visual perception in cloudy environments", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 779829 (7 September 2010); https://doi.org/10.1117/12.860811
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KEYWORDS
Scattering

Visualization

Light scattering

Signal attenuation

Atmospheric modeling

Computer simulations

Atmospheric particles

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