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Proposed Methodology - SobelMNet
A lightweight CNN-based model for detecting median filtering in compressed images.
Key Features:
Sobel filter-based preprocessing: Enhances edge residuals for better feature extraction.
Feature extraction using CNN: Extracts structural differences between original and manipulated images.
Lightweight architecture: Efficient model for both binary and multi-class classification.
Robust evaluation: Tested on low-resolution, compressed images for real-world forensic applications.
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