Python package for detecting copy-move attack on a digital image
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Updated
Jun 18, 2024 - Python
Python package for detecting copy-move attack on a digital image
Image Forgery Detection using Deep learning Graduation project
Groundtruth images of tampering dataset CASIA 2.0
A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection
image fraud detection(copy-move forgery)
QDL-CMFD: a Quality-independent and Deep Learning-based Copy-Move image Forgery Detection method.
Copy-Move forgery database with similar but Genuine objects. ICIP2016 paper
Various images processing based projects, these are not for production but largely for learning.
An algorithm that is completely robust to Intensity/ Brightness varied copy move forgery is proposed in this algorithm.
Iterative Copy-Move Forgery Detection based on a new Interest Point Detector
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