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  Published Paper Details:

  Paper Title

REVIEW OF NONLINEAR FILTERS FOR NOISE REMOVAL IN DIGITAL IMAGES

  Authors

  Sweety sindhav,  Shital Solanki

  Keywords

Non-linear filter, Impulse noise, Gaussian noise, Bilateral filter, Trilateral filter, Non local Mean filter.

  Abstract


Noise removal is one of the basic task to be executed in image processing. Noise removal is an important task in medical images, satellite and GIS application. Keeping intact the edges and texture is crucial and important task while removing the noise.The smoother region should remain smooth and the edges and texture information should be preserved. Also it should be noted that no artificially generated artifact should be added in noise removal process. Different types of noise should be treated differently, also depending on the noise level. Many techniques has been developed so far starting from simple mean and simple median filter to recent advance techniques combining spatial and frequency domain methods. This paper critically examines and reviews methods in spatial domain fornonlinear filter such as median filter, bilateral filter, trilateral filter and nonlocal mean filter.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2007532

  Paper ID - 196977

  Page Number(s) - 4879-4883

  Pubished in - Volume 8 | Issue 7 | July 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sweety sindhav,  Shital Solanki,   "REVIEW OF NONLINEAR FILTERS FOR NOISE REMOVAL IN DIGITAL IMAGES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 7, pp.4879-4883, July 2020, Available at :http://www.ijcrt.org/papers/IJCRT2007532.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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