Local Extremum-Based Audio Watermarking Algorithm
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In this paper, we explore the concept of local extremum in audio watermarking algorithms and demonstrate how to perform watermark embedding and extraction operations using MATLAB software. The implementation involves detecting local maxima or minima in audio signals, where watermark bits are embedded by modifying these extremum points. For extraction, the algorithm reconstructs the watermark by analyzing the perturbed extremum values. Additionally, we present several common audio watermarking attack methods, including noise addition, filtering, compression, and time-scale modification, which are simulated to evaluate the robustness of the watermarking scheme. It is important to note that audio watermarking technology is widely used in copyright protection and digital media security. Therefore, a deeper understanding of these techniques is essential for effectively safeguarding digital information assets.
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