Chaos-Encrypted Wavelet Domain Digital Watermarking

In this graduation project, we implement wavelet domain digital watermarking code with chaos-based encryption. This code enables encryption and protection of digital data through advanced techniques. Wavelet domain digital watermarking represents a frequency-domain embedding technology that protects and authenticates data while maintaining original data quality. The implementation involves discrete wavelet transform (DWT) for frequency decomposition and chaotic systems (such as Logistic map or Tent map) for encryption key generation. We perform line-by-line analysis of the source code, focusing on key functions including: - Wavelet coefficient modification for watermark embedding - Chaotic sequence generation for encryption - Inverse DWT for image reconstruction - PSNR calculation for quality assessment The code optimization focuses on improving robustness against common attacks (compression, noise addition) and enhancing security through chaotic encryption parameters. This graduation project source code serves as the foundation for understanding chaos-based wavelet watermarking principles, including embedding strength adjustment, extraction algorithms, and security evaluation metrics. Through comprehensive study and implementation improvements, we aim to contribute to digital watermarking research by developing more secure and efficient protection mechanisms for multimedia data.