Digital Watermarking of Chemical Structure Sets
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Security of Public Watermarking Schemes for Binary Sequences
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Adaptive quantization of wavelet packet coefficients for image watermarking
MUSP'08 Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing
Channel Coding in the Presence of Side Information
Foundations and Trends in Communications and Information Theory
Robust audio data hiding using correlated quantization with histogram-based detector
IEEE Transactions on Multimedia
Near-capacity dirty-paper code design: a source-channel coding approach
IEEE Transactions on Information Theory
Rights protection of trajectory datasets with nearest-neighbor preservation
The VLDB Journal — The International Journal on Very Large Data Bases
Quantized based image watermarking in an independent domain
Image Communication
A robust color image watermarking with Singular Value Decomposition method
Advances in Engineering Software
Comparison of Forbidden Zone Data Hiding and Quantization Index Modulation
Digital Signal Processing
A novel multibit watermarking scheme combining spread spectrum and quantization
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
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A variety of digital watermarking applications have emerged recently that require the design of systems for embedding one signal (the ``embedded signal'' or ``watermark'') within another signal (the ``host signal''). We develop a framework for analyzing achievable performance trade-offs of these systems among robustness, distortion, and embedding rate. We also describe a recently introduced class of embedding methods, quantization index modulation (QIM), in which an ensemble of quantizers is constructed and information is embedded by quantizing the host signal with a quantizer associated with the watermark. We introduce an implementation of such a method called spread-transform dither modulation where the embedded information modulates the dither signal of a dithered quantizer, which quantizes projections of the host signal onto a spreading vector. We show that QIM systems have considerable performance advantages over previously proposed spread-spectrum and low-bit modulation systems.