There are 9 repositories under forgery-detection topic.
Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.
[CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression, forensics, manipulation detection)
Groundtruth images of tampering dataset CASIA 2.0
Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch
Unofficial implementation of paper 'Face X-ray for More General Face Forgery Detection'. (updating...)
Groundtruth images of tampering dataset CASIA 1.0
A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection
[CVPR 2023 Highlight] Official implementation of the paper: "AltFreezing for More General Video Face Forgery Detection"
This system is Used detect and highlight the image (Forgery) malpractices performed on modern-day digital images.
Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)
:framed_picture: :detective: Forgery Detection on Images
image fraud detection(copy-move forgery)
IFAKE is an application for detecting image and video forgery, designed to help users verify the authenticity of digital media. This repository also contains the AI model and dataset that we developed for image tampering detection, providing an effective solution for detecting image and video manipulations.
This is the one of solution implemented for image forgery localization using deep learning techniques and architectures such as UNET, VGG
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 develop a chatbot for further easing the process of interaction with the model and effectively tackling the problem of fake news forwards in popular internet messaging platforms such as WhatsApp.
auto-encoder-based forgery detection tool for mammogram images
Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"
The assignments and projects on Digital Image Processing
Implementing Copy Move Forgery Detection using DCT or SVD transformations. Also, a clear explanation is provided in the READme section
IMDetector is a Python module for image manipulation detection.
Authenticating Bob Ross Paintings using Convolutional Neural Networks
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
Implementation of the famous Camera Noise Fingerprint "NoisePrint" in Pytorch
Employing Error Level Analysis (ELA) and Edge Detection techniques, this project aims to identify potential image forgery by analyzing discrepancies in error levels and abrupt intensity changes within images.
TensorFlow/Keras examples and notes.
A Rust implementation of ZERO: a JPEG grid detector applied to forgery detection in digital images.
Bachelor's Thesis - application for detecting digital image forgeries. Praca Inzynierska - aplikacja do wykrywania falszerstw w obrazach cyfrowych
Bag of visual words AI model made with Scikit-learn and OpenCV
[ICAPR 2017] Image Hash Minimization for Tamper Detection
Forgegy Image Detection Using Error level Analysis and Deep Learning
Multi-feature Forgery Detection Deep-Learning based Framework