K.Sangeetha, P.Sengottuvelan and E.Balamurugan, BIT, India

Image inpainting derives from restoration of art works, and has been applied to repair ancient art works. Inpainting is a technique of restoring a partially damaged or occluded image in an undetectable way. It fills the damaged part of an image by employing information of the undamaged part according to some rules to make it look “reasonable” to human eyes. Digital image inpainting is relatively new area of research, but numerous and different approaches to tackle the inpainting problem have been proposed since the concept was first introduced. This paper analyzes and compares the recent exemplar based inpainting algorithms by Minqin Wang and Hao Guo et al. A number of examples on real images are demonstrated to evaluate the results of algorithms using Peak Signal to Noise Ratio (PSNR).

Exemplar based, Image inpainting, PSNR.