Python package for detecting copy-move attack on a digital image

Groundtruth images of tampering dataset CASIA 2.0

Image Forgery Detection using Deep learning Graduation project

A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection

Copy-Move forgery database with similar but Genuine objects. ICIP2016 paper

image fraud detection(copy-move forgery)

QDL-CMFD: a Quality-independent and Deep Learning-based Copy-Move image Forgery Detection method.

An algorithm that is completely robust to Intensity/ Brightness varied copy move forgery is proposed in this algorithm.

For the first time in the research history of copy move forgery detection(CMFD), we propose an algorithm that can successfully detect copy-rescale-move forgery.

Iterative Copy-Move Forgery Detection based on a new Interest Point Detector

Various images processing based projects, these are not for production but largely for learning.