Restoring Damaged Images by Region Filling and Object Removal using Image Inpainting and Deconvolution Algorithm on Virtual Instrumentation Platform

Abstract

Image inpainting refers to the process of filling-in missing data in a designated region of the visual input. The object of the process is to reconstruct missing parts or damaged image in such a way that the inpainted region cannot be detected by a casual observer. Applications of inpainting range from the reconstruction of missing blocks introduced by packet loss during wireless transmission, reversing of impairments such as cracks, scratches, and dirt in scanned photographs and digitized artwork images and removal/introduction of image objects such as logos, stamped dates, text, persons, and special effects on the scene. Typically after the user selects the region to be restored, the inpainting algorithm automatically repairs the damaged area by means of image interpolation.