Performance evaluation of different inpainting algorithms for remotely sensed images
Luqman Ali, Teerasit Kasetkasem, Wasif Khan, Thitiporn Chanwimaluang, Hiroki Nakahara · 2017
Image inpainting refers to a technique in which missing areas of an image are filled is such a way that it looks plausible to the human eye by retrieving information from the surrounding pixels. Degradation in remote sensing images is usually caused by dead pixels, noise, clouds, sensor problem or communication system problem. The aim of this paper is to evaluate the performance of different inpainting algorithms for remote sensing images. Satellite Images are tested on different inpainting algorithms and efficiency of each algorithm is evaluated on the basis of processing time, Root mean square error and peak signal to noise ratio.