Comparative study of copy-move forgery detection techniques-Reference-Cited by-同舟云学术

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Comparative study of copy-move forgery detection techniques

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)
language:
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Author:

Elaskily Mohamed A.,Aslan Heba K.,Elshakankiry Osama A.,Faragallah Osama S.,El-Samie Fathi E. Abd,Dessouky Mohamed M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8294073/8302988/08303041.pdf?arnumber=8303041

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient Image Forgery Detection Framework using Transfer Learning Models;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22

2. Image forgery detection: comprehensive review of digital forensics approaches;Journal of Computational Social Science;2024-04

3. Research on Image Forgery Detection Based on Fusion Models;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

4. Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis;Multimedia Tools and Applications;2024-01-02

5. A sequential convolutional neural network for image forgery detection;Multimedia Tools and Applications;2023-10-11

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