Volume & Issue no: Volume 9, Issue 4, July - August 2020
____________________________________________________________________________________________________
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.
|
| Full Text [PDF] Back to Current Issue | |
NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week.