Paper Info
Title
Achievable Performance of Digital Watermarking Systems
Abstract
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.
Year
DOI
Venue
1999
10.1109/MMCS.1999.779113
ICMCS, Vol. 1
Keywords
Field
DocType
achievable performance,embedding method,embedding rate,quantization index modulation,digital watermarking systems,embedded signal,qim system,low-bit modulation system,embedded information,host signal,dither signal,spread-transform dither modulation,spread spectrum,digital watermarking,watermarking,digital watermark,performance,data hiding,decoding,robustness,image processing,indexation,vectors,quantization,spread spectrum communication,degradation,modulation
Digital watermarking,Computer science,Robustness (computer science),Watermark,Theoretical computer science,Modulation,Artificial intelligence,Distortion,Spread spectrum,Computer vision,Algorithm,Dither,Quantization (signal processing)
Conference
ISBN
Citations 
PageRank 
0-7695-0253-9
29
5.47
References 
Authors
0
2
Name
Order
Citations
PageRank
Brian Chen128939.05
Gregory W. Wornell298491189.42