Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Improved SVD-DWT based digital image watermarking against watermark ambiguity
Proceedings of the 2007 ACM symposium on Applied computing
Chaos-based discrete fractional Sine transform domain audio watermarking scheme
Computers and Electrical Engineering
Digital Audio Watermarking Techniques and Technologies: Applications and Benchmarks
Digital Audio Watermarking Techniques and Technologies: Applications and Benchmarks
Digital Watermarking and Steganography
Digital Watermarking and Steganography
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
IEEE Transactions on Information Theory
Robust image-adaptive data hiding using erasure and error correction
IEEE Transactions on Image Processing
Image adaptive watermarking using wavelet domain singular value decomposition
IEEE Transactions on Circuits and Systems for Video Technology
A blind digital audio watermarking scheme based on EMD and UISA techniques
Multimedia Tools and Applications
Robust and secure watermarking scheme for breath sound
Journal of Systems and Software
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Quantization index modulation is one of the best methods for performing blind watermarking, due to its simplicity and good rate-distortion-robustness trade-offs. In this paper, a new audio watermarking algorithm based on singular value decomposition and dither-modulation quantization is presented. The watermark is embedded using dither-modulation quantization of the singular values of the blocks of the host audio signal. The watermark can be blindly extracted without the knowledge of the original audio signal. Subjective and objective tests confirm high imperceptibility achieved by the proposed scheme. Moreover, the scheme is quite robust against attacks including additive white Gaussian noise, MP3 compression, resampling, low-pass filtering, requantization, cropping, echo addition and denoising. The watermark data payload of the algorithm is 196 bps. Performance analysis of the proposed scheme shows low error probability rates.