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  Published Paper Details:

  Paper Title

Deep Convolutional Neural Network Techniques on Denoising the Wireless Channel Corrupted Images

  Authors

  M Sreedhar,  K Srinivasa Rao,  K Mamatha

  Keywords

Image denoising, Noises in images, Convolutional Neural Network, Deep Neural Network

  Abstract


Abstract: Denoising the pictures faces numerous significant difficulties prior to being sent through the correspondence channel, the picture is compacted and sent as a bitstream. Various types of commotions debase this bitstream as it voyages through the correspondence channel. Thus, the beneficiary gets a boisterous (defiled) picture, which has a more terrible picture quality. Different picture denoising methods are used to defeat this issue. For quite a long time, picture denoising has been a captivating subject of examination. Many methodologies and ideas for picture denoising have been introduced over time. Most of these calculations accepted that the image commotions were Gaussian, rash and spot clamor are convoluted wellsprings of clamor in imaging.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2309278

  Paper ID - 243995

  Page Number(s) - c364-c369

  Pubished in - Volume 11 | Issue 9 | September 2023

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.36115

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

  E-ISSN Number - 2320-2882

  Cite this article

  M Sreedhar,  K Srinivasa Rao,  K Mamatha,   "Deep Convolutional Neural Network Techniques on Denoising the Wireless Channel Corrupted Images", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 9, pp.c364-c369, September 2023, Available at :http://www.ijcrt.org/papers/IJCRT2309278.pdf

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


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