Image Copy-Move Forgery Detection Algorithms Based on Spatial Feature Domain-Reference-Cited by-同舟云学术

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Image Copy-Move Forgery Detection Algorithms Based on Spatial Feature Domain

Published:2021-03-05 Issue: Volume: Page:
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Container-title:2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA)
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Author:

Ahmed Ismail Taha,Hammad Baraa Tareq,Jamil Norziana

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9377254/9377268/09377272.pdf?arnumber=9377272

Cited by 15 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. A Comparative Performance Analysis of Malware Detection Algorithms Based on Various Texture Features and Classifiers;IEEE Access;2024

2. Image Forgery Detection Using Federated Learning On Edge Devices;2023 2nd International Conference on Smart Cities 4.0;2023-10-22

3. Image Forgery Detection Using Low Dimensional Texture Feature Vector;2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2023-06-17

4. Image Tampering Detection Using Error Level Analysis and Metadata Analysis;2023 4th International Conference for Emerging Technology (INCET);2023-05-26

5. Effective Digital Image Watermark Detection Technique based on Tamura Texture Features;2023 9th International Engineering Conference on Sustainable Technology and Development (IEC);2023-02-21

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