Robust Audio Watermarking Algorithm Based on Moving Average and DCT
Jinquan Zhang, Bin Han

TL;DR
This paper presents a robust audio watermarking method that embeds watermarks into low-frequency DCT coefficients of a moving average sequence, enhancing resistance to common signal processing attacks while maintaining audio quality.
Contribution
It introduces a novel watermarking scheme combining moving average features with DCT domain embedding, improving robustness against various digital signal processing operations.
Findings
High audio quality preserved under watermark embedding
Algorithm shows strong robustness to noise, compression, and filtering
Effective against multiple common signal processing attacks
Abstract
Noise is often brought to host audio by common signal processing operation, and it usually changes the high-frequency component of an audio signal. So embedding watermark by adjusting low-frequency coefficient can improve the robustness of a watermark scheme. Moving Average sequence is a low-frequency feature of an audio signal. This work proposed a method which embedding watermark into the maximal coefficient in discrete cosine transform domain of a moving average sequence. Subjective and objective tests reveal that the proposed watermarking scheme maintains highly audio quality, and simultaneously, the algorithm is highly robust to common digital signal processing operations, including additive noise, sampling rate change, bit resolution transformation, MP3 compression, and random cropping, especially low-pass filtering.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Digital Media Forensic Detection · Chaos-based Image/Signal Encryption
