A Review on Statistical Analysis of Filters on Various Noises in Mri and Usg Images

Suppression of noise efficiently in an image is a very important process. Here the detection of the noise patterns which affects the USG and MRI image and to apply the Spatial filters to remove those noises. The common noises found in these images are speckle noise, salt and pepper noise and Gaussian noise. These images come across these noises from background and through equipment [1]. The noise can be of any type, high or low leading to the degradation of the image quality. The Spatial Filters are categorized according to their performance and judged by Statistical analysis to find the best suitable Spatial Filter for a particular noise. The various statistical parameters used are MSE, NAE, NCC, max diff and PSNR[5][6].