Adaptive detection for spread spectrum audio watermarking

Abstract

This paper presents an adaptive detection algorithm for spread-spectrum-based audio watermarking. Aiming at the watermark adaptively embedded in the audio signal, our improvements to the correlation-based detection algorithms include the adaptive normalization coefficients for correlation calculating and the adaptive threshold for decision comparing. Experimental results show that the proposed detector has high robustness to normal attacks, such as cropping, low pass filtering, noise addition, re-quantization, re-sampling, MPEG compression, and so on.