Topic: "image-tampering-detection"
greatzh/Papers
Image Forgery Detection and Localization (and related) Papers List
Language: HTML - Size: 441 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 386 - Forks: 31
agusgun/FakeImageDetector
Image Tampering Detection using ELA and CNN
Language: Jupyter Notebook - Size: 21 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 160 - Forks: 67
aman05382/Image_Manipulation_Detection_System_Python
This system is Used detect and highlight the image (Forgery) malpractices performed on modern-day digital images.
Language: Python - Size: 64.4 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 44 - Forks: 21
AKASH2907/image_forgery_detection_papers
A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection
Size: 22.5 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 42 - Forks: 10
jayant1211/Image-Tampering-Detection-using-ELA-and-Metadata-Analysis
aim of this project is to give insight into authenticity of an image using ELA and metadata analysis based weather validation
Language: Jupyter Notebook - Size: 98.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 12 - Forks: 3
gtwell/image_tampering_detection
This repository was built for image tampering detection.
Language: Python - Size: 1.36 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 1
dklive1999/MAPS-Net
Paper code: Image tampering localization network based on multi-class attention and progressive subtraction
Language: Python - Size: 3.91 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
favia96/Image-Tampering-Detection
Image Tampering Detection and Localization
Language: MATLAB - Size: 1.98 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1
trinetra110/PixelGuard
PixelGuard is a powerful Python-based tool designed to detect image tampering using SHA-256 hashing, metadata analysis, and pixel-level comparison. It helps verify the authenticity of images and identify unauthorized modifications, making it useful for digital forensics, cybersecurity, and content verification.
Language: Python - Size: 8.79 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
