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Joint filtering estimation of Stokes vector images based on a nonlocal means approach
Sylvain Faisan1, Christian Heinrich, François Rousseau
1Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, UMR 7005 CNRS, University of Strasbourg Pôle API, Illkirch, France. faisan@unistra.fr
Abstract:
Conventional estimation techniques of Stokes images from observed radiance images through different polarization filters suffer from noise contamination that hampers correct interpretation or even leads to unphysical estimated signatures. This paper presents an efficient restoration technique based on nonlocal means, permitting accurate estimation of smoothly variable polarization signatures in the Stokes image while preserving sharp transitions. The method is assessed on simulated data as well as on real images.
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