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 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.
Fei
Chuhong
C
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4 Canada. fei@control.toronto.edu
Kundur
Deepa
D
Kwong
Raymond H
RH
D000465:Algorithms; D003198:Computer Simulation; D044962:Data Compression / Q000379:methods* / Q000592:standards; D019146:Hypermedia; D007089:Image Enhancement / Q000379:methods* / Q000592:standards; D007090:Image Interpretation, Computer-Assisted / Q000379:methods* / Q000592:standards; D015233:Models, Statistical; D010330:Patents as Topic; D010363:Pattern Recognition, Automated; D011356:Product Labeling / Q000379:methods* / Q000592:standards; D011786:Quality Control; D012815:Signal Processing, Computer-Assisted