Development Of A Modified Wiener Algorithm In The Restoration Of Digital Images

Abstract Digital image processing has made its way into todays technology and Computer driven Society with applications encompassing a wide variety of specialized disciplines. Image degradation however becomes a serious threat to image processing as current trend in security measures tends towards the use of biometrics. Moreover data collected using image sensors are generally contaminated by noise and region of interest in the image degraded by many factors among which is motion blur during acquisition thus the need to recover or reconstruct the original image. Several image restoration algorithms have been developed to minimize such errors. Wiener filtering algorithm has been and still being adjudged the best restoration algorithm for the clas of linear methods. However it has the tendency to cause undesirable artifacts in the resultant image. In order to remove the undesirable artifacts this paper developed a modified Wiener algorithm. Performance of which was evaluated and Computational results showed modified Wiener performed better than the conventional Wiener algorithm.