Admin
Joined - December 2025
Features:
Multiple Detection Methods:
Error Level Analysis (ELA)
Noise Variance Analysis
Color Filter Array (CFA) Analysis
JPEG Ghost Detection
Deep Learning-based detection (placeholder)
GUI Components:
Dual image display (original/processed)
Method selection panel
Sensitivity adjustment slider
Results display area
Status bar
Advanced Features:
Full analysis combining multiple methods
Method comparison window with visualizations
Real-time results display
Configurable sensitivity settings
Visual Enhancements:
Modern dark theme
Responsive layout
Image resizing and display
Color-coded results
Installation Requirements:
bash
pip install opencv-python pip install pillow pip install numpy pip install matplotlib pip install scikit-learn pip install tensorflow # Optional for deep learning
To Use:
Run the script
Click "Load Image" to select an image
Choose a detection method
Adjust sensitivity if needed
Click "Detect Splicing" to analyze
Use "Run Full Analysis" for comprehensive results
Use "Compare Methods" to see different techniques side-by-side
Get the updates.
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