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- W4228954 abstract "In this paper, we propose a method that separates specular reflections from polarized color images. With line constraints in RGB color space and spatial do- main information, we used a Variational energy mini- mization approach to restore diffuse reflections. With anisotropic smoothing, our method preserves the shape of textures and successfully separates specular reflec- tions. Also, saturation of specular reflections is consid- ered using a simple inpainting method. space into two subspaces in each pixel: the specular line space and the diffuse plane space. The line space is parallel to the constraint line of polarization in each pixel, while the plane space represents a plane per- pendicular to the specular direction. In specular line space, our energy functional smoothes anisotropically the spatial variation of specular components depending on boundary values, and the direction of the smooth- ing is controlled by gradient information in the diffuse plane space. As a constraint, anisotropic homogeneous smoothness of the separated specular reflections is em- ployed in our energy functional and controlled by the gradient information of the polarization-varying spec- ular intensity in the polarized images. The narrow dynamic range of sensor and high in- cident angle can cause saturations with erroneous line constraints. To overcome this, a simple constrained Total Variation inpainting(9) method is applied dur- ing preprocessing. With this approach, our algorithm can deal with saturated specular images. In the cn- ergy minimization process following preprocessing, our method successfully separates specular reflections from the polarized images, which overall tcxtures and diffuse reflections." @default.
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- W4228954 date "2002-12-01" @default.
- W4228954 modified "2023-09-23" @default.
- W4228954 title "Variational Specular Separation Using Color and Polarization." @default.
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