Two Stage MRI De-noising using NLM with Bitonic Filtering
Abhishek Sharma1, Vijayshri Chaurasia2
1Abhishek Sharma*, Department of Electronics and Communication, MANIT, Bhopal, India.
2Dr. Vijayshri Chaurasia, Department of Electronics and Communication, MANIT, Bhopal, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 782-786 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1387109119/2019©BEIESP | DOI: 10.35940/ijeat.A1387.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: NLM filter, Rician Noise, PSNR, SSIM.