Novel Method for Denoising Medical Image Using 2nd Level Discrete Wavelet Transform and Bilinear Filter

Abstract

Medical imaging is one of the crucial subfields in the world of science and technology. There must be genuine image quality of medical images as it is used to diagnose diverse types of illness and in medical image we cannot settlement or compromise in quality because it provide us important data of patients and if quality compromised then severe effects may come into existence which definitely harmful for patients. Developing a significant denoising method plays a crucial role in image processing. In this research paper, image is first decomposed using filter into eight subbands using 3D DWT and bilateral filter technique and in this process we got approximation coefficient using DWT and once again DWT technique used on approximation coefficient image then we applied bilateral filter and the detail coefficients are subjected to Wavelet Thresholding. After that there is requirement of image reconstructed and this process is executed by inverse wavelet transform (IDWT) of the resultant coefficients and then it is filtered using bilateral filter. In our research work two types of images are considered which are MRI images and Ultrasound images. In this work IDWT process carried out two times that is why our research work known as 2 level DWT process. In this process finally two parameters are calculated PSNR and MSE.