Detection of Watermarked Images

The task of detecting watermarked images is critically important. For this purpose, we require a robust watermark embedding algorithm. Currently, we have uploaded a MATLAB program named add_score.m that implements the watermark insertion functionality. This program typically operates by modifying specific frequency domains or pixel values in the image to embed invisible digital markers. Before proceeding with image detection, it is essential to verify that watermarks have been successfully embedded into the target images. Therefore, comprehensive testing and validation of the add_score.m program must be conducted to ensure its functional correctness and reliability. The validation process should include checks for watermark persistence through common image processing operations and evaluate the algorithm's resistance to attacks. Only after confirming successful watermark embedding can we proceed with subsequent image detection workflows. This sequential approach ensures the accuracy and credibility of our image detection results by establishing a verified foundation for watermark identification and extraction processes. The detection phase would typically involve cross-correlation analysis or frequency-domain comparisons to identify embedded watermarks.