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

Bachelor's Thesis - application for detecting digital image forgeries. Praca Inzynierska - aplikacja do wykrywania falszerstw w obrazach cyfrowych

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

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

Implementing Copy Move Forgery Detection using DCT or SVD transformations. Also, a clear explanation is provided in the READme section

The assignments and projects on Digital Image Processing

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

Unofficial implementation of paper 'Face X-ray for More General Face Forgery Detection'. (updating...)

This is the one of solution implemented for image forgery localization using deep learning techniques and architectures such as UNET, VGG

🖼️ 🕵️ Forgery Detection on Images

AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection (NeurIPS 2020)

A deep convolutional neural network for the detection as well as localization of the area of manipulation in forged images, bearing forgeries of simple as well as complex nature. Further along, the trained model is interfaced with a web application for users to interact with the model in a simple and effective manner, and finally, we also develo…

Bag of visual words AI model made with Scikit-learn and OpenCV

TensorFlow/Keras examples and notes.

Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)

Groundtruth images of tampering dataset CASIA 1.0

Copy-move image forgery detection library.

Groundtruth images of tampering dataset CASIA 2.0

auto-encoder-based forgery detection tool for mammogram images

Authenticating Bob Ross Paintings using Convolutional Neural Networks