Digital Rights Protection Graduation Project Based on Discrete Cosine Transform

This article presents a graduation project on digital rights protection that employs Discrete Cosine Transform (DCT) for image processing. The algorithm incorporates novel implementation approaches while maintaining robust protection capabilities. The project includes comprehensive MATLAB programs featuring key functions such as dct2() for transformation and idct2() for inverse transformation, allowing readers to examine the complete implementation workflow. We provide detailed analysis of the algorithm's architecture, including block-based processing for enhanced security and quantization techniques for watermark embedding. Additionally, we discuss the algorithm's advantages in terms of computational efficiency and robustness against common attacks, while addressing limitations such as sensitivity to compression artifacts. Potential improvements including adaptive thresholding and hybrid transform methods are explored to advance digital copyright protection mechanisms.