Performance evaluation of digital audio watermarking algorithms

Abstract

We propose an algorithm-independent framework for rigorously comparing digital watermarking algorithms with respect to bit rate, perceptual quality, computational complexity, and robustness to signal processing. The framework is used to evaluate five audio watermarking algorithms from the literature, revealing that frequency domain techniques perform well under the criteria.