Image Tampering Detection using ELA and CNN

ELA 全称：Error Level Analysis ，汉译为“错误级别分析”或者叫“误差分析”。通过检测特定压缩比率重新绘制图像后造成的误差分布，可用于识别JPEG图像的压缩。

Classifies a given image as authentic or tampered by doing two levels of analysis. Implemented using PyTorch.

Detects the authenticity of an image using Error Level Analysis and Convolutional Neural Networks.

aim of this project is to give insight into authenticity of an image using ELA and metadata analysis based weather validation

Classifies a given aadhaar image to real or fake by doing two levels of analysis.

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.

Edited Images Analyser

Image Forgery Detection using ELA and Deep Learning

Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.

A Python-based desktop tool for detecting digital image forgeries. It applies forensic techniques—Error Level Analysis, Metadata Extraction, Histogram, Noise Map, JPEG Ghost, and Copy-Move Detection—to reveal inconsistencies and visual clues, helping experts assess image authenticity without automation.

Image Forgery Detection using ELA and Deep Learning

This tool compares the original image to a recompressed version. This can make manipulated regions stand out in various ways. For example they can be darker or brighter than similar regions which have not been manipulated.

Developed an intelligent solution using OCR, QR code detection, and computer vision to extract and validate Aadhaar details from images. Applied preprocessing for rotated/skewed inputs, ensured fraud detection via pattern checks, and improved accuracy for secure, automated identity verification.

Simple Tampered Image Detection using Error Level Analysis and Convolutional Neural Network with Flask

TamperTracer is a Python-based digital forensics tool designed to detect tampering in images, videos, audio, and text documents using deep learning and visual forensic techniques.

Python implementation of the Error Level Analysis algorithm in scikit-image with a GUI made in TKinter

AI-powered image classifier using Vision Transformer and Error Level Analysis to detect AI-Generated image.

🎩 A comprehensive document authenticity verification tool with advanced image forensics and LLM-based text analysis.