Hybrid Splicing Detection: CLAHE, Enhanced CNN & SVM for Forensics

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 This study presents a hybrid approach for detecting image splicing in digital forensics by integrating Contrast Limited Adaptive Histogram Equalization (CLAHE), an improved Convolutional Neural Network (CNN), and Support Vector Machine (SVM). The proposed method enhances feature extraction and classification accuracy, ensuring robust tampering detection.

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