We propose an inpainting technique based on edge and corner preserving. This technique makes use of the nonlinear structure tensor (NLST) to evaluate the direction and the diffusion magnitude through robust orientations. Many authors have used this technique for different issues, for example for image interpolation and reconstruction, for structure-adaptive anisotropic filtering and inpainting based on image characteristics. Here we make use of this procedure and extend previous studies to present an inpainting new algorithm. To validate our study we present some numerical applications to grey scale images with complex geometries.
['Mounder Benseghir', 'Fatma Zohra Nouri', 'Pierre-Clovis Tauber']
An Inpainting Result by a Nonlinear Structure Tensor