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  Published Paper Details:

  Paper Title

Tracing Origin of Image

  Authors

  Arati Kale,  Pratikkumar Daitary Sahoo,  Rahul Rajendra Kenjale,  Vaishnavi Madhav Kamble,  Mayuri Mahadev Jugdar

  Keywords

Image classification, SVM, DCT, Machine Learning.

  Abstract


A huge amount of images are continuously shared on Social Networks (SNs) daily and, in most cases, it is very difficult to establish the SN of the provenance of that image when it is recovered from a hard disk, an SD card or a Smartphone Memory. During an investigation it could be crucial to be able to distinguish images coming directly from a photo camera with respect to those downloaded from social network and possibly in this circumstance, determining which is the SN among a defined group. It is well known that each SN leaves peculiar traces on each content during the upload-download process; such traces can be exploited to make image classification. SN modulated noise residual can be adopted as a feature to detect the social network origin by means of a trained Convolutional Neural Network (CNN).

  IJCRT's Publication Details

  Unique Identification Number - IJCRT23A5127

  Paper ID - 238150

  Page Number(s) - j289-j294

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Arati Kale,  Pratikkumar Daitary Sahoo,  Rahul Rajendra Kenjale,  Vaishnavi Madhav Kamble,  Mayuri Mahadev Jugdar,   "Tracing Origin of Image", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.j289-j294, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A5127.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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