A Comparative Study of Image Noise Reduction

Abstract

There are several ways that noise can be introduced into an image, depending on how the image is created. Today, there are varieties of image noise reduction techniques. Several approaches have been introduced each has its own assumptions, advantages and disadvantages. In this paper, we study and compare three types of image noise reduction techniques: Inverse filter, Wiener filter and Lucy-Richardson filter. These filters are deconvolution types of filters. This paper attempts to undertake the study of three types of noise such as Salt and Pepper Noise (SPN), Gaussian Noise (GN) and Speckle Noise (SPKN). Different noise densities have been removed by using three types of filters as Inverse Filter (IF), Wiener Filter (WF) and Lucy-Richardson Filter (LF). These filters are applied to the car license plate image. The comparative study is conducted with the help of Mean Square Errors (MSE) and Peak-Signal to Noise Ratio (PSNR)..