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A dehazing algorithm with multiple simultaneously captured images
Author(s): José L. López-Martínez; Vitaly Kober; Manuel Escalante-Torres
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Paper Abstract

Recently, many efficient methods have been developed for dehazing using a single observed image. Such dehazing algorithms estimate scene depths and then compute the thickness of haze. However, since the problem is ill-posed, the restored image often contains artificial colors and overstretched contrast. In this work, we use multiple capturing of hazed images with three cameras to solve the dehazing problem. A new dehazing method with three multiple images is based on solution of explicit linear systems of equations derived from optimization of an objective function. The performance of the proposed method is compared with that of common dehazing algorithm in terms of accuracy of the quality of image restoration.

Paper Details

Date Published: 27 September 2016
PDF: 6 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99711G (27 September 2016); doi: 10.1117/12.2237902
Show Author Affiliations
José L. López-Martínez, Univ. Autónoma de Yucatán (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Chelyabinsk State Univ. (Russian Federation)
Manuel Escalante-Torres, Univ. Autónoma de Yucatán (Mexico)

Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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