DocumentCode
984734
Title
Applying informed coding and embedding to design a robust high-capacity watermark
Author
Miller, Matt L. ; Doërr, Gwenaël J. ; Cox, Ingemar J.
Author_Institution
NEC Res. Inst., Princeton, NJ, USA
Volume
13
Issue
6
fYear
2004
fDate
6/1/2004 12:00:00 AM
Firstpage
792
Lastpage
807
Abstract
We describe a new watermarking system based on the principles of informed coding and informed embedding. This system is capable of embedding 1380 bits of information in images with dimensions 240×368 pixels. Experiments on 2000 images indicate the watermarks are robust to significant valumetric distortions, including additive noise, low-pass filtering, changes in contrast, and lossy compression. Our system encodes watermark messages with a modified trellis code in which a given message may be represented by a variety of different signals, with the embedded signal selected according to the cover image. The signal is embedded by an iterative method that seeks to ensure the message will not be confused with other messages, even after addition of noise. Fidelity is improved by the incorporation of perceptual shaping into the embedding process. We show that each of these three components improves performance substantially.
Keywords
data compression; image coding; iterative methods; low-pass filters; trellis codes; watermarking; dirty-paper code; informed coding; informed embedding; iterative method; perceptual shaping; trellis code; watermarking system; Additive noise; Convolutional codes; Filtering; Image coding; Iterative methods; Low pass filters; Noise robustness; Noise shaping; Pixel; Watermarking; Algorithms; Computer Graphics; Computer Security; Data Compression; Image Interpretation, Computer-Assisted; Patents as Topic; Pattern Recognition, Automated; Product Labeling; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2003.821551
Filename
1298836
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