Volume & Issue no: Volume 9, Issue 4, July - August 2020
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Title: |
Performance Analysis of De-noising in Medical Images using Wiener Filter |
Author Name: |
Gophika T, Pranav Dev K R, Prasanna Rubavathy S, Raja Thejes S |
Abstract: |
Abstract: Image processing is a wide area in which a variety
of researches are being carried out. The main aim of Digital
Image Processing is to improve the quality of images. A variety
of researches are performed in digital and medical image
processing. Noises play a vital role in degrading the quality of
both medical and digital images. These noises affect CT images,
MRI images and X-Ray images. Median filter performs well and
is used in many image processing techniques. But, for medical
images like CT, MRI and X-Ray, Wiener filter outperforms
Median Filter. Different noises like speckle noise, Gaussian
noise, salt and pepper noise and Poisson noise are taken into
consideration. 90% of noise from the corrupted medical images
can be eliminated by using Wiener filter.
Keywords: – Computed Tomography, MRI – Magnetic
Resonance Imaging, X-Ray, Wiener filter. |
Cite this article: |
Gophika T, Pranav Dev K R, Prasanna Rubavathy S, Raja Thejes S , "
Performance Analysis of De-noising in Medical Images using Wiener Filter" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 9, Issue 4, July - August 2020 , pp.
001-004 , ISSN 2278-6856.
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