A hybird filtering approach for mri image with multiresolution

In a modern medical technology Magnetic Resonance Imaging (MRI) is widely used to capture the structures of organs inside the body. It uses magnetic field and pulses of radio wave energy to capture the images. The images captured using MRI systems are often corrupted by various kinds noises like Gaussian, Salt & pepper, Speckle…etc. while transferring through communication network. Obtaining the clear image from corrupted images and improve the performance of the computing system is an important goal of image processing. A Hybrid filtering approach is proposed to remove the Salt & Pepper noise in the MRI images with Multiresolution. It consist of Dual Threshold median filter and verge distance filter. The classification of pixels into noisy or nose free plays a vital role in denoising. The Proposed Multi-resolution Hybrid filter out performs the existing methods while improving the resolution of the reconstructed image.