Open AccessTwo Stage MRI De-noising using NLM with Bitonic Filtering
Author(s) -
Abhishek Sharma,
Vijayshri Chaurasia
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1387.109119
Subject(s) - computer science , noise reduction , artificial intelligence , filter (signal processing) , noise (video) , computer vision , bilateral filter , pattern recognition (psychology) , image processing , feature (linguistics) , enhanced data rates for gsm evolution , median filter , image (mathematics) , linguistics , philosophy
Medical image processing is very wide and most interesting area of research now days. It covers wide application in diagnosis of diseases and analysis of inner body structure. Medical image processing include the study of internal body structure like organs, tissues, etc., which produce better information and help to detect disease using the digitalized data of human organs. In last few decades, so many denoising techniques were proposed like DWT techniques, Maximum likelihood (ML) etc. But all these algorithms have some limitations to preserve edges and fine details. So there is need of compromise between de-noising quality and edge preservation to use images for real time application. The proposed advancement in Non-Local Means filtering with different distant function and analyze them for best results. NLM filter reduce noise without degrading important features like edges and fine details. The analysis is based on the quality and quantity base like MSE, PSNR and SSIM.