An Image Content-Based Self-Recovering Watermarking Algorithm

In my dissertation research, I developed a MATLAB program implementing an "Image Content-Based Self-Recovering Watermarking Algorithm." This algorithm employs sophisticated image analysis techniques to achieve automatic watermark recovery. The implementation involves key MATLAB functions for discrete wavelet transform (DWT) decomposition and singular value decomposition (SVD) to embed and extract watermark information. The program specifically detects and extracts watermark data hidden within image components while utilizing restoration algorithms to reconstruct damaged watermarks. This approach incorporates content-adaptive embedding strategies where watermark strength adjusts based on local image characteristics. The algorithm design and implementation significantly contribute to image content analysis and digital watermarking research, with potential applications in information security and copyright protection domains. The code structure includes modules for preprocessing, feature extraction, watermark embedding, and recovery procedures using MATLAB's image processing toolbox functions.