Volume 2, Number 1 (2017)
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Home > Journals > SCIREA Journal of Computer > Archive > Paper Information

MRI Medical Image Denoising by Fundamental Filters

Volume 2, Issue 1, February 2017    |    PP. 12-26    |PDF (772 K)|    Pub. Date: February 27, 2017
133 Downloads     1973 Views  

Hanafy M. Ali, Computers and Systems Engineering Department, Faculty of Engineering, Minia University, El Minia, Egypt

Nowadays Medical imaging technique Magnetic Resonance Imaging (MRI) plays an important role in medical setting to form high standard images contained in the human brain. MRI is commonly used once treating brain, prostate cancers, ankle and foot. The Magnetic Resonance Imaging (MRI) images are usually liable to suffer from noises such as Gaussian noise, salt and pepper noise and speckle noise. So getting of brain image with accuracy is very extremely task. An accurate brain image is very necessary for further diagnosis process. During this paper, a median filter algorithm will be modified. Gaussian noise and Salt and pepper noise will be added to MRI image. A proposed Median filter (MF), Adaptive Median filter (AMF) and Adaptive Wiener filter (AWF) will be implemented. The filters will be used to remove the additive noises present in the MRI images. The noise density will be added gradually to MRI image to compare performance of the filters evaluation. The performance of these filters will be compared exploitation the applied mathematics parameter Peak Signal-to-Noise Ratio (PSNR).

MRI image, De-noising, Non-linear filter, Median filter, Adaptive filter and Adaptive Median filter.

Cite this paper
Hanafy M. Ali, MRI Medical Image Denoising by Fundamental Filters, SCIREA Journal of Computer. Vol. 2 , No. 1 , 2017 , pp. 12 - 26 .


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