Wavelet Transform-Based Audio Watermarking for Copyright Protection

This implementation demonstrates wavelet transform-based audio watermarking code designed to embed binary images for copyright protection and tracking. By embedding watermarks directly into audio signals, this method effectively safeguards intellectual property rights and enables tracing of unauthorized audio usage. The algorithm employs wavelet transform as a powerful signal processing technique that converts audio signals into frequency domain representations, allowing seamless embedding of binary images in the frequency domain. The implementation typically involves key functions for discrete wavelet decomposition (DWT), coefficient modification in selected frequency bands, and inverse transformation (IDWT) to reconstruct the watermarked audio. This watermarking technique maintains audio quality without perceptible degradation to listening experience, as the embedding process strategically utilizes human auditory system characteristics. The code generally includes modules for watermark preprocessing, embedding strength optimization, and robustness testing against common audio processing operations. As an effective copyright protection solution, it's suitable for various audio applications including music distribution, broadcasting, and digital media forensics.