Comparative Study and Analysis of Image Inpainting Techniques
B. Likith Vishal · IOSR Journal of Computer Engineering · 2013
Image inpainting is a technique to fill missing region or reconstruct damage area from an image.It removes an undesirable object from an image in visually plausible way.For filling the part of image, it use information from the neighboring area.In this dissertation work, we present a Examplar based method for filling in the missing information in an image, which takes structure synthesis and texture sysnthesis together.In exemplar based approach it used local information from an image to patch propagation.We have also implement Nonlocal Mean approach for exemplar based image inpainting.In Nonlocal mean approach it find multiple samples of best exemplar patches for patch propagation and weight their contribution according to their similarity to the neighborhood under evaluation.We have further extended this algorithm by considering collaborative filtering method to synthesize and propagate with multiple samples of best exemplar patches.We have to preformed experiment on many images and found that our algorithm successfully inpaint the target region.We have tested the accuracy of our algorithm by finding parameter like PSNR and compared PSNR value for all three different approaches.