Blind Detection of Copy-Move Forgery in Digital Images

This research focuses on blind detection of copy-move forgery in digital images using MATLAB implementation. The study employs a concise MATLAB code that implements key algorithms for effective copy-move forgery detection. In the field of blind detection for digital image copy-move forgery, this compact code provides an efficient methodology. The MATLAB implementation utilizes block-based analysis and feature matching techniques to rapidly and accurately identify copy-move tampering in digital images. The algorithm typically involves dividing the image into overlapping blocks, extracting distinctive features (such as DCT coefficients or texture descriptors), and comparing these features to detect duplicated regions. This research holds significant importance for maintaining digital image integrity and authenticity, enabling the identification and prevention of image tampering and duplication. Through in-depth study of copy-move forgery detection algorithms, we can enhance digital image security and reliability. The implementation includes key functions for preprocessing, feature extraction, and matching verification, providing a foundation for developing more robust image forensics tools.