PCA-Based Detection of Copy-Move Forgery Regions in Images

Utilizing Principal Component Analysis to detect copy-move forgery regions in digital images with effective detection performance. The implementation involves feature extraction, dimensionality reduction, and similarity matching algorithms.

Copy-Move Image Tampering Detection Algorithm Implementation

MATLAB implementation of copy-move image forgery detection algorithm with feature extraction and block matching capabilities

PCA-Based Detection of Copy-Move Forgery Regions in Images

Principal Component Analysis for Copy-Move Forgery Detection in Digital Images