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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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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
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