Tamper image detection using error level analysis and convolutional neural networks

Author:

Kasim Amina Taha,Ebraheem Sundus Khaleel

Publisher

AIP Publishing

Reference26 articles.

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3. M. S. Mahdi and S. N. Alsaad, “Detection of Copy-Move Forgery in Digital Image Based on SIFT Features and Automatic Matching Thresholds.” In International Conference on Applied Computing to Support Industry: Innovation and Technology, Springer, pp. 17–31, September 2019.

4. M. Ahmad, and F. Khursheed, “Digital Image Forgery Detection Approaches: A Review.” In Applications of Artificial Intelligence in Engineering, 863–882, (2021).

5. A. Khayeat, “Copy-move forgery detection in digital images”, PhD, thesis, Cardiff University, 2017.

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