https://github.com/kanchanraiii/ml-fakeimage_detection
1. ELA method 2.Noise Analysis 3.MesoNet
https://github.com/kanchanraiii/ml-fakeimage_detection
ai deepfakes fakeimagedetector mesonet ml
Last synced: 7 months ago
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1. ELA method 2.Noise Analysis 3.MesoNet
- Host: GitHub
- URL: https://github.com/kanchanraiii/ml-fakeimage_detection
- Owner: kanchanraiii
- Created: 2023-09-30T10:24:28.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-13T12:10:26.000Z (almost 2 years ago)
- Last Synced: 2025-01-24T22:11:11.631Z (8 months ago)
- Topics: ai, deepfakes, fakeimagedetector, mesonet, ml
- Language: Jupyter Notebook
- Homepage:
- Size: 1.4 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Image Authentication Techniques
## 1. Error Level Analysis (ELA)
The Error Level Analysis method employs the PIL (Python Imaging Library) to examine images for discrepancies in error levels, aiding in the identification of potential image manipulations.
## 2. Noise Analysis
The Noise Analysis technique involves introducing noise, or discrepancies, into an image to reveal areas that may have been tampered with, thus assisting in the detection of potential alterations.
## 3. MesoNet CNN Based
MesoNet is a Convolutional Neural Network (CNN)-based method comprising four Convolutional Blocks. It is designed to detect deepfakes and other image manipulations by analyzing the structural characteristics of the image.
These techniques provide valuable tools for assessing the authenticity of images and identifying potential instances of image manipulation.