A dehazing algorithm with multiple simultaneously captured images

José L. López-Martínez; Vitaly Kober; Manuel Escalante-Torres

doi:10.1117/12.2237902

27 September 2016 A dehazing algorithm with multiple simultaneously captured images

José L. López-Martínez, Vitaly Kober, Manuel Escalante-Torres

Proceedings Volume 9971, Applications of Digital Image Processing XXXIX; 99711G (2016) https://doi.org/10.1117/12.2237902
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

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.

Conference Presentation

Citation Download Citation

José L. López-Martínez, Vitaly Kober, and Manuel Escalante-Torres "A dehazing algorithm with multiple simultaneously captured images", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99711G (27 September 2016); https://doi.org/10.1117/12.2237902

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