A Study on Digital Image Restoration Filters
Shaila Banu SK, B Sivaparvathi, Munwar Ali SK, Raheema SK, Sailaja R, Kamala P · International Journal of Scientific Research in Science and Technology · 2020
In this paper, at first a color image is taken Then the image is transformed into a grayscale image. After that, the motion blurring effect is applied to that image according to the image degradation model described in equation 3.the blurring effect can be controlled by a and b components of the model. Then random noise is added in the image via MATLAB programming. Many methods can restore the noisy and motion blurred image: particularly in this paper inverse filtering as well as wiener filtering are implemented for the restoration purpose consequently, both motion blurred and noisy motion blurred image are restored via inverse filtering as well as wiener filtering techniques and the comparison is made among them.