2016 Volume 4 Issue 1 Pages 21-32
Image inpainting has been widely investigated to remove undesired parts of images. One of the effective approaches is exemplar-based inpainting, which uses texture patterns in an image as exemplars for filling in missing regions. As one of exemplar-based methods, an inpainting method based on automatic perspective correction using vanishing points was recently proposed. However, the target scene is limited to artificial one in which vanishing points are easily detectable. Although some other methods for automatic perspective correction have also been proposed, the effect on image inpainting has not been evaluated in detail so far. This paper analyzes the effect of multiple methods for automatic perspective correction on image inpainting by developing a method that combines a variety of automatic perspective correction methods and image inpainting. Specifically, we examine the influence of the amount of perspective distortion and characteristics of textures on image inpainting results by using images distorted by simulation. We also examine the effect using real images. In addition, we demonstrate the advantage of employing multiple criteria for perspective correction over the conventional method from the analyzed results.