IBM Systems Journal
Robust audio watermarking using perceptual masking
Signal Processing
Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Proceedings of the First International Workshop on Information Hiding
Current State olf the Art, Challenges and Future Directions for Audio Watermarking
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Spread-spectrum watermarking of audio signals
IEEE Transactions on Signal Processing
Audio watermarking under desynchronization and additive noise attacks
IEEE Transactions on Signal Processing
Robust audio watermarking in the time domain
IEEE Transactions on Multimedia
Robust and high-quality time-domain audio watermarking based on low-frequency amplitude modification
IEEE Transactions on Multimedia
Localized audio watermarking technique robust against time-scale modification
IEEE Transactions on Multimedia
Histogram-Based Audio Watermarking Against Time-Scale Modification and Cropping Attacks
IEEE Transactions on Multimedia
Digital audio watermarking in the cepstrum domain
IEEE Transactions on Consumer Electronics
RST-invariant digital image watermarking based on log-polar mapping and phase correlation
IEEE Transactions on Circuits and Systems for Video Technology
Invariant Image Watermarking Based on Statistical Features in the Low-Frequency Domain
IEEE Transactions on Circuits and Systems for Video Technology
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In continuation to earlier work where the problem of time-scale modification (TSM) has been studied [1] by modifying the shape of audio time domain histogram, here we consider the additional ingredient of resisting additive noise-like operations, such as Gaussian noise, lossy compression and low-pass filtering. In other words, we study the problem of the watermark against both TSM and additive noises. To this end, in this paper we extract the histogram from a Gaussian-filtered low-frequency component for audio watermarking. The watermark is inserted by shaping the histogram in a way that the use of two consecutive bins as a group is exploited for hiding a bit by reassigning their population. The watermarked signals are perceptibly similar to the original one. Comparing with the previous time-domain watermarking scheme [1], the proposed watermarking method is more robust against additive noise, MP3 compression, low-pass filtering, etc.