Comparative study of methods of restoring blurred and noisy images
Touka Hafsia, Hatem Tlijani, Khaled Nouri · 2020
Visual information faces several problems either during capture or during processing. In this paper, a comparative study of some deterministic methods of image restoration of visual data perturbed by blur and noise from a camera attached to quadcopter system. An estimate of blur and noise then considered and a comparative study between desired images obtained in order to prove the effectiveness of the proposed method, so as to reduce or remove blur noise for clarity of the image characteristics to facilitate the estimation of theft of our system.