Abstract

The images taken through glass often capture a target transmitted scene as well as undesired reflflected scenes. In this paper, we propose a low-rank matrix completion algorithm to remove reflflection artifacts automatically from multiple glass images taken at slightly different camera locations. We assume that the transmitted scenes are more dominant than the reflflected scenes in typical glass images. We fifirst warp the multiple glass images to a reference image, where the gradients are consistent in the transmission images while the gradients are varying across the reflflection images. Based on this observation, we compute a gradient reliability such that the pixels belonging to the salient edges of the transmission image are assigned high reliability. Then we suppress the gradients of the reflflection images and recover the gradients of the transmission images only, by solving a low-rank matrix completion problem in gradient domain. We reconstruct an original transmission image using the resulting optimal gradient map. Experimental results show that the proposed algorithm removes the reflflection artifacts from glass images faithfully and outperforms the existing algorithms on typical glass images.