Recently, as 3D display devices become popular, automatic editing methods for stereoscopic image become important. In this paper, we propose an inpainting method for a stereoscopic image considering the texture similarity. By extending the conventional image inpainting method for an image considering the texture similarity to for a stereoscopic image by considering the consistency of two images, ... [Show full abstract] natural results are obtained by our method. As in the conventional methods for a stereoscopic image inpainting, first the depth maps are recovered and then the color images are inpainted based on the depth maps in our method. Consistency of the depth maps is guaranteed in our method which are important for the inpainting of color image. For color image inpainting, similar textures are searched considering not only the depth layer but also the depth values of respective pixels. Experimental results demonstrate the efficiency of our method.