Image Denoising using Mean Filter

Abstract

The first step in any image processing process is to remove noise from an image, and this is the aim of every de-noising technique. The noise removal technique should be used carefully to avoid introducing artifacts that could cause the image to become blurry. In this paper, five levels of Gaussian noise and Salat & Peppers are applied to original images to add noise (σ=5, σ=10, σ=15, σ=20, σ=25 σ=50) and also combination Gaussian and Salt & peepers are used with noise level 25.  Removing noising is filtered in mean filter. Performance evaluation of the mean filter with three methods of noise is provided. After testing all the approaches with Gaussian noise σ =15, the results revealed that Lena's image was superior to the others. The other photos, however, performed better for the Gaussian levels 20 and 25 than the Lena image. With all types of noise, the mean filter produced good results.