Analysis and design of watermarking algorithms for improved resistance to compression

We study the performance of robust digital watermarking approaches in the presence of lossy compression by introducing practical analysis methodologies. Correlation expressions between the embedded watermark and the extracted watermark are derived to determine the optimal watermarking domain to maxi...

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Bibliographic Details
Published in:IEEE transactions on image processing 2004-02, Vol.13 (2), p.126-144
Main Authors: Chuhong Fei, Kundur, D., Kwong, R.H.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Applied sciences
Compressing
Computer Simulation
Data Compression - methods
Data Compression - standards
Data encapsulation
Data mining
Exact sciences and technology
Hypermedia
Image compression
Image Enhancement - methods
Image Enhancement - standards
Image Interpretation, Computer-Assisted - methods
Image Interpretation, Computer-Assisted - standards
Image processing
Information, signal and communications theory
Mathematical analysis
Models, Statistical
Optimization
Patents as Topic
Pattern Recognition, Automated
Performance analysis
Performance loss
Product Labeling - methods
Product Labeling - standards
Quality Control
Quantization
Resilience
Robustness
Signal processing
Signal Processing, Computer-Assisted
Spread spectrum communication
Strategy
Telecommunications and information theory
Transforms
Watermarking
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Summary:We study the performance of robust digital watermarking approaches in the presence of lossy compression by introducing practical analysis methodologies. Correlation expressions between the embedded watermark and the extracted watermark are derived to determine the optimal watermarking domain to maximize data hiding rates for spread spectrum and quantization watermarking. It is determined both theoretically and through simulations that the embedding strategy, in addition to the transform used for lossy compression, dictate the optimal transform for watermarking. Through analytic comparisons, we develop a novel hybrid watermarking algorithm that exploits the best of both approaches for greater resilience to JPEG compression.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2004.823830