Polarization-based specularity removal method with global energy minimization
Résumé
A new image specularity removal method is presented in this paper. This method is based on the polarization imaging through global energy minimization. Traditional color-based methods generate severe color distortions, and local-patch-based algorithms produce limited results without integrating the long range information. To handle these limitations, the proposed method uses polarization images to provide complementary information and reduce the color distortions. By minimizing a global energy function, our algorithm properly takes into account the long range cue and produces accurate and stable results. Experimental results show that our method outperforms the other polarization-based methods.