Analysis of Image Restoration Techniques on Lunar Surface Images

Lunar surface images captured by Chandrayaan-II, leveraging advanced image restoration techniques. The images obtained from the space craft can subject to various noise influence depending on the data acquisition system. Our goal is to investigate the effect of various types of noise in the image, such as Gaussian, Salt and Pepper, and Speckle noise, necessitating advanced restoration approaches for optimal data extraction. Our primary objective is to employ three restoration techniques such as Wiener, Median and Gaussian filters to restore the lunar images. Through the implementation of these restoration techniques, we aim to mitigate the adverse effect of sensor noise, thermal noise, cosmic ray noise, transmission noise and compression artifacts, all of which impede the precise interpretation of lunar surface features. These restoration methods are then compared in various noise levels and has been evaluated in terms of SNR, PSNR, image fidelity and MSE. The outcomes are encouraging and the suggested technique provides more precise restoration for images of the lunar surface.