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Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected into the image during transmission. This paper deals with Performance Comparison of Mean, Median and Wiener Filters in MRI Image de-noising for Gaussian noise, Salt & Pepper noise, and Speckle noise. The performance evaluation is done by using Peak Signal to Noise Ratio (PSNR)
Keywords:
Gaussian noise, Salt & Pepper noise, Speckle noise, Mean filter, Median filter, Wiener Filter.
Cite Article:
"Performance Comparison of Mean, Median and Wiener Filter in MRI Image De-noising", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 6, page no.371 - 375, June-2017, Available :http://www.ijrti.org/papers/IJRTI1706068.pdf
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000205234
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator