IJRTI
International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Performance Comparison of Mean, Median and Wiener Filter in MRI Image De-noising
Authors Name: Pravin Prakash Shetti , Prof. A. P. Patil
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IJRTI_170392
Published Paper Id: IJRTI1706068
Published In: Volume 2 Issue 6, June-2017
DOI:
Abstract: 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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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
Publication Details: Published Paper ID: IJRTI1706068
Registration ID:170392
Published In: Volume 2 Issue 6, June-2017
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Page No: 371 - 375
Country: Jaysingpur, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1706068
Published Paper PDF: https://www.ijrti.org/papers/IJRTI1706068
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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