COMPARATIVE STUDY OF VARIOUS LINEAR, NON-LINEAR AND GUIDED FILTERS

Most applications in computer vision, computer graphics and image processing involve the concept of image filtering to reduce noise and/or to extract useful image structures. This paper  demonstrate the comparative study among various guided, linear, and non-linear filters for image enhancement using Mean Square Error (MSE) and Peak signal to noise ratio (PSNR) This paper also provide an overview of underlying concept of image processing concepts and algorithms.