Image Tampering Detection using ELA and CNN
deep-learning image-classification convolutional-neural-networks error-level-analysis fake-image-detection image-tampering-detection
- Updated
- Jupyter Notebook
#
error-level-analysis
Here are 31 public repositories matching this topic...
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。
- Updated
Classifies a given image as authentic or tampered by doing two levels of analysis. Implemented using PyTorch.
python metadata computer-vision deep-learning fake-images cv pytorch neural-networks error-level-analysis fake-image-detection
- Updated
- Jupyter Notebook
aim of this project is to give insight into authenticity of an image using ELA and metadata analysis based weather validation
deep-learning convolutional-neural-networks image-forensics error-level-analysis image-tampering-detection image-forgery metadata-analysis
- Updated
- Jupyter Notebook
Detects the authenticity of an image using Error Level Analysis and Convolutional Neural Networks.
- Updated
- Jupyter Notebook
Classifies a given aadhaar image to real or fake by doing two levels of analysis.
python metadata opencv fake-images image-processing fake signatures python27 lbph opencv-python ela opencv2 error-level-analysis fake-image-detection
- Updated
- Python
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.
- Updated
- Jupyter Notebook
Edited Images Analyser
- Updated
- Python
Image Forgery Detection using ELA and Deep Learning
- Updated
- Jupyter Notebook
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.
python3 image-analysis image-forensics error-level-analysis forgery-detection open-souce digital-forensics-tool-set digital-forensics-analysis copy-move-detection
- Updated
- Python
Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.
machine-learning deep-learning numpy scikit-learn pandas neural-networks ensemble-learning data-preprocessing cnn-model xception-model error-level-analysis vgg16-model
- Updated
- Jupyter Notebook
Image Forgery Detection using ELA and Deep Learning
- Updated
- Jupyter Notebook
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.
php packagist composer analysis images image-analysis ela forensic error-level-analysis manipulated-regions-stand
- Updated
- PHP
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.
python opencv flask pytorch tesseract-ocr error-level-analysis image-forgery-detection huggingface verhoeff-algorithm noise-patterns ultralytics-yolo exif-metadata-analysis aadhaar-validation
- Updated
- Python
- Updated
- Python
Simple Tampered Image Detection using Error Level Analysis and Convolutional Neural Network with Flask
- Updated
- Jupyter Notebook
🎩 A comprehensive document authenticity verification tool with advanced image forensics and LLM-based text analysis.
- Updated
- Python
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 opencv machine-learning deep-learning heatmap tesseract-ocr digital-forensics librosa ocr-recognition ocr-text-reader error-level-analysis mel-spectrogram streamlit
- Updated
Python implementation of the Error Level Analysis algorithm in scikit-image with a GUI made in TKinter
- Updated
- Python
AI-powered image classifier using Vision Transformer and Error Level Analysis to detect AI-Generated image.
- Updated
- HTML
Improve this page
Add a description, image, and links to the error-level-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the error-level-analysis topic, visit your repo's landing page and select "manage topics."