Performance Analysis of Image Smoothing Filters

Digital images plays very significant role in day-to-day activities along with the areas of research and technology. But the main drawback of digital images is that noise added during their transmission. De-Noising of images can be carried out by several techniques. But before that we have to learn about the concept of denoising. Denoising is very leading affair in the field of image processing. Image denoising is the process of recuperating the primary image from an observation that has been depraved by various noises. In this paper several techniques are suggested for image de-noising and individual techniques is capable in removing noise with edge preservation and less computational complexity is presented. Many smoothing filters have been introduced vary from simple mean to more complex filtering Such as bilateral filtering. These filters aim at smoothing the image to eliminate some form of noise. The proposed method is an optimum solution for these requirements. The performance of the algorithm is tested and compared with standard mean filter, median filter, weighted median filter, gaussian filter, bilateral filter and recently proposed filter. Experimental results show the remarkable performance of the proposed filtering technique compared to the other classic techniques in terms of both subjective and objective evaluations.