Hybrid Deep Learning Model for Copy Move Image Forgery Detection-Reference-Cited by-同舟云学术

Hybrid Deep Learning Model for Copy Move Image Forgery Detection

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
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Author:

Prabakar D¹,Ganesan R.²,Rani D. Leela³,Neti Praveen⁴,Kalyani N.⁵,Mudradi Shreesha Kalkoor⁶

Affiliation:

1. SNS College of Technology,Department of Computer Science and Engineering,Coimbatore,Tamil Nadu,India,641035

2. Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India,600062

3. Sree Vidyanikethan Engineering College,Department of Electronics and Communication Engineering,Tirupati,Andhra Pradesh,India,517102

4. Aditya College of Engineering,Department of Computer Science & Engineering,Surampalem,Andhra Pradesh,India,533437

5. R.M.K College of Engineering and Technology,Department of Computer Science and Engineering,Thiruvallur,Tamil Nadu,India,601206

6. Sambhram Institute of Technology,Department of Electronics and Communication Engineering,Bangalore,Karnataka,India,560097

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986507/9986494/09987319.pdf?arnumber=9987319

Reference14 articles.

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3. Evaluation of Classification Models in Machine Learning;novakovic;Theory and Applications of Mathematics & Computer Science,2017

4. Contourlet based seismic reflection data non-local noise suppression

5. A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery

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