MATLAB Source Code for Video Watermarking

Video watermarking technology plays a crucial role in various application domains including copyright protection, content authentication, and information hiding. This implementation covers both frequency-domain and temporal-domain watermarking algorithms that embed digital watermarks while maintaining video quality stability and readability. For frequency-domain approaches, the code typically utilizes Discrete Cosine Transform (DCT) or Discrete Wavelet Transform (DWT) techniques to embed watermarks in transform coefficients. Temporal-domain methods often employ frame-by-frame processing with spatial domain embedding using least significant bit (LSB) modification or pixel value modulation. The MATLAB implementation leverages the Image Processing Toolbox and Video Processing functions for efficient video frame extraction, processing, and reconstruction. Key functions include videoReader() for frame acquisition, im2double() for pixel value normalization, and various transformation functions (dct2(), idct2()) for frequency-domain operations. The code demonstrates robustness considerations through error correction coding and perceptual modeling to ensure watermark survival against common video processing operations. Researchers interested in video watermarking can utilize this MATLAB-based framework to study algorithm performance, test against various attacks, and develop improved watermarking strategies. MATLAB's powerful matrix operations and visualization capabilities make it ideal for prototyping and analyzing video watermarking systems. The distributed archive files contain separate modules for: core watermark embedding/extraction functions, video I/O utilities, transformation libraries, attack simulation tools, performance evaluation metrics, and demonstration scripts. Each module includes comprehensive comments and parameter configuration files for easy adaptation to different research requirements.