Comparative analysis of non linear filtering techniques for denoising of X-ray images
Sugandha Agarwal, O. P. Singh, Deepak Nagaria · 2016
Image denoising is a vital problem in medical image processing. During image acquisition process images are often degraded. The degradation may involve blurring, information loss due to noises, sampling and quantization effect. Disturbances in medical images occurs due to flow of blood in body, use of interior devices, and etc. which results in altering the image with unknown parameters. In this paper the performance of nonlinear filtering methods to obtain improved medical image from distorted image is compared and carefully examined on the basis of various performance parameters viz. PSNR, MSE, SNR, MAE. Investigational outcomes on images will illustrate the competencies of all the studied approaches.