An epipolar geometry guided image inpainting method
Chen Gu, Guang Jiang, Linghao Duan · 2012
Image inpainting, which is an important topic in the fields of computer vision and image processing, has been widely investigated in many applications. But traditional inpainting methods usually fail to get a reliable effect because of the lacking of the information. In this paper, we present a new inpainting method with considering a reference image exist. Different from the single view inpainting, we can get the information of the damaged regions from the reference image. Epipolar geometry constraint between the two images is added to the exemplar-based image inpainting algorithm. Experimental results show that our method can repair both structures and textures of the missing regions with a reliable result.