High Resilience Diverse Domain Multilevel Audio Watermarking with Adaptive Threshold

TL;DR

This paper introduces a novel multi-domain audio watermarking scheme using DCT-SVD and DWT-SVD, along with adaptive detection algorithms that enhance robustness against attacks while maintaining high audio quality.

Contribution

It proposes a new multi-domain watermarking method with adaptive threshold detection algorithms, improving robustness and quality over existing schemes.

Findings

Watermarked audio shows better subjective and objective quality.

The adaptive threshold algorithms reduce susceptibility to signal processing attacks.

The scheme achieves lower Bit Error Rate under various attack conditions.

Abstract

A novel diverse domain (DCT-SVD & DWT-SVD) watermarking scheme is proposed in this paper. Here, the watermark is embedded simultaneously onto the two domains. It is shown that an audio signal watermarked using this scheme has better subjective and objective quality when compared with other watermarking schemes. Also proposed are two novel watermark detection algorithms viz., AOT (Adaptively Optimised Threshold) and AOTx (AOT eXtended). The fundamental idea behind both is finding an optimum threshold for detecting a known character embedded along with the actual watermarks in a known location, with the constraint that the Bit Error Rate (BER) is minimum. This optimum threshold is used for detecting the other characters in the watermarks. This approach is shown to make the watermarking scheme less susceptible to various signal processing attacks, thus making the watermarks more robust.