5 October 2006 Evaluation of infrared image restoration techniques
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Abstract
The main image degradation occuring in long distance ground-to-ground infrared video acquisition is due to atmospheric turbulence. The turbulence strength essentially depends on climatic conditions and on the distance between the scene and the camera. Atmospheric turbulence can show dramatically different effects, but in the case of horizontal observations in the troposphere, at a distance over a couple of kilometers, it can be efficiently simulated by local blurring and warping. Some additive noise may be detected depending on atmospheric conditions and on the acquisition system. In the acquisition conditions, the degraded images can be split into areas degraded by the same perturbation, which is called local isoplanatism.The goal of this paper is to test locally the most classical restoration methods on real images, in order to deduce some criterion allowing selection of the most suited method. The first part of the paper is devoted to the physical explanation of local isoplanatism (LI). In the second part, once the case study has been shown to fit with LI assumptions, we show that global restoration techniques do not work properly compared to local ones. Then local restoration results are analysed within uniform areas and transition areas so as to find the best restoration technique. Several examples are shown.
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Magali Lemaitre, Magali Lemaitre, Jacques Blanc-Talon, Jacques Blanc-Talon, Fabrice Mériaudeau, Fabrice Mériaudeau, Olivier Laligant, Olivier Laligant, } "Evaluation of infrared image restoration techniques", Proc. SPIE 6395, Electro-Optical and Infrared Systems: Technology and Applications III, 63950R (5 October 2006); doi: 10.1117/12.690035; https://doi.org/10.1117/12.690035
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