Flow-like textures with line-like structures images inpainting by improved tensor diffusion model

For inpainting of the flow-like textures with line-like structures images, we present an model based on tensor diffusion. The proposed model is to reconstruct a damaged original image by acting along the texture´s direction and the vertical texture´s direction which is determined by the texture´s trend of the local image structure (This local image structure is measured by the so-called structure tensor). In order to guarantee better results, the intensity of the diffusion along the texture´s direction should be much greater than that of the diffusion along the vertical texture´s direction. The nonnegativity discretization method and optimized rotation invariance method is used to calculate the proposed model. It was shown in experiments that this model can get good results for inpainting the flow-like textures with line-like structures images that contain nicks or small broken areas.