Superresolution algorithm for satellite still images
Abdullah Al-Shabili, Bilal Taha, Hussain Al-Ahmad · 2015
This paper presents a new algorithm for improving the resolution of satellite images. The improvement aims at obtaining a high resolution image from a single low resolution image. The new algorithm utilizes interpolation and two dimensional filter specifically designed for a particular image by means of maximizing the peak signal to noise ratio (PSNR). The performance of the algorithm is evaluated by using the PSNR. During the assessment process the processed images are compared with a ground truth images. In practice; ground truth images do not exist, however, they are used for comparison purposes. The new algorithm provides better performance compared to the use of cross shaped 2D filters.