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DOI Prefix: 10.47001/IRJIET

Comparison between Different Methods for Noise Cancellation in Medical Image

Azza M. Abd_elmegeedResearcher, Department of Electrical Engineering, Assiut University, Assiut, EgyptMostafa Y. MakkeyProfessor, Department of Electrical Engineering, Assiut University, Assiut, Egypt

Vol 5 No 6 (2021): Volume 5, Issue 6, June 2021 | Pages: 16-21

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 08-06-2021

doi Logo doi.org/10.47001/IRJIET/2021.506004

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Abstract
In the medical community, doctors use different types of medical imaging to diagnose the disease. It is possible that these types lead to noise. The goal is to rid these types of noise of the appearance of the image clearly, to give the specialist proper medical examination. These types are Magnetic Resonance (MR), Computed Tomography (CT), Ultrasounds and X-Ray images. For measuring the denoised image quality we used:  Peak to Signal noise (PSNR).This is to facilitate the medical community in obtaining the best results for the diagnosis, describing the disease and its treatment and deal with the patient clearly and comfortably.
Keywords

Medicals Images; denoising; Speckle Noise; Rician Noise; Poisson Noise; Gaussian Noise; wavelet filter


Citation of this Article

Azza M. Abd_elmegeed, Mostafa Y. Makkey, “Comparison between Different Methods for Noise Cancellation in Medical Image” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 16-21, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506004

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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