Python implementation of PRNU extractor

Implementation of the famous Camera Noise Fingerprint "NoisePrint" in Pytorch

A Python script that extracts the PRNU from images using the DRUNet network as a denoising technique.

This repository provides a PyTorch implementation of FFDNet image denoising https://arxiv.org/abs/1710.04026. First implemented by Matias Tassano https://doi.org/10.5201/ipol.2019.231, the FFDNet source code has been adapted so as to extract cameras PRNU.

PRNU extraction + validation

2016JFS, Source camera identification with content adaptive guided filter

IEEE's Signal Processing Society - Camera Model Identification Identify from which camera an image was taken

Python implementation of PRNU extractor

The Video Truth Record (.vtr) is an open standard for hardware-attested media. It cryptographically binds video files to the unique physical signature of the camera sensor (PRNU) at capture, utilizing zero-knowledge proofs to guarantee authenticity and an unbroken chain of custody.

Wavelet-domain PRNU based image authentication system for verifying whether an image originates from an enrolled camera sensor.

Python program for analyzing the device using which the picture was taken.

超级耿同学 — 学术论文多维度异常检测框架。不简单给二值判断，用贝叶斯证据网络对每条证据建模，输出带不确定性的后验造假概率。理工科7维+文科5维+因果推断+图像法医。