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  Published Paper Details:

  Paper Title

IMAGE ENHANCEMENT TECHNOLOGY

  Authors

  Shubham Kambire,  Kanchan Doke,  Ayush Shetty,  Pranil Sarang

  Keywords

Artificial Intelligence, Dataset

  Abstract


Datasets are crucial to encourage the improvement of a few computational fields, giving extension, vigor, and certainty to results. Datasets are an assortment of examples that all offer a typical property. AI information investigation utilizes calculations to ceaselessly develop itself after some time, however quality information is vital for these models to work proficiently. In deep learning, to train a particular model we need lots of any kind of specific data. If data is not proper the accuracy drops of the model. In case of images if we get dataset of improper images, and if we use these for training it will affect the accuracy. Image Enhancement Technology is an initiative to convert images with poor quality, noise, which hinders the accuracy in images which have enough information which can be for future purposes

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2104571

  Paper ID - 206306

  Page Number(s) - 4754-4758

  Pubished in - Volume 9 | Issue 4 | April 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Shubham Kambire,  Kanchan Doke,  Ayush Shetty,  Pranil Sarang,   "IMAGE ENHANCEMENT TECHNOLOGY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 4, pp.4754-4758, April 2021, Available at :http://www.ijcrt.org/papers/IJCRT2104571.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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