Brian Chen

TL;DR: It is shown that QIM is "provably good" against arbitrary bounded and fully informed attacks, and achieves provably better rate distortion-robustness tradeoffs than currently popular spread-spectrum and low-bit(s) modulation methods.

TL;DR: In this paper, a system, method, and product are provided to pre-process one or more primary signals to generate a transformed host-signal and/or a transformed watermarksignal, and then extract the watermark signal from the transmitted composite signal.

TL;DR: This work presents a class of embedding methods called quantization index modulation (QIM) that achieve provably good rate-distortion-robustness performance, and introduces a form of postprocessing the authors refer to as distortion compensation that, when combined with QIM, allows capacity to be achieved.

TL;DR: A new class of embedding methods called quantization index modulation (QIM) is proposed and an example of such a method called dither modulation is developed in which the embedded information modulates the dither signal of a dithered quantizer.

TL;DR: Aspects of the duality between the information-embedding problem and the Wyner-Ziv (1976) problem of source coding with side information at the decoder are developed and used to establish a spectrum new results on these and related problems, with implications for a number of important applications.