Sketch-guided texture-based image inpainting

In this paper, we propose a novel framework for image inpainting, named sketch-guided texture-based image inpainting. Inspired by the well-known primal sketch model, we present a penetrating perspective into the process of image formation, where each image is seen as a variety of texture organized by some underlying structure. Based on this conceptual foundation, our approach of image inpainting integrates two unified stages: it first reconstructs the image structure with the sketch model, and then guided by the structure, it restores the missing region by patch-based texture synthesis. The major superiority of the framework over other ones consists in its capability of simultaneously recovering the structure and texture in the missing regions. Comprehensive experiments are performed to compare our method with other state-of-the-art ones; the encouraging results obtained convincingly demonstrate the effectiveness of our method.