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21 March 2005 Modeling the print-scan process for resilient data hiding
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Print-scan resilient data hiding finds important applications in document security, and image copyright protection. In this paper, we build upon our previous work on print-scan resilient data hiding with the goal of providing a mathematical foundation for computing information-theoretic limits, and guiding design of more complicated hiding schemes allowing higher volume of embedded data. A model for print-scan process is proposed, which has three main components: a) effects due to mild cropping, b) colored high-frequency noise, and c) non-linear effects. It can be shown that cropping introduces unknown but smoothly varying phase shift in the image spectrum. A new hiding method called Differential Quantization Index Modulation (DQIM) is proposed in which, information is hidden in the phase spectrum of images by quantizing the difference in phase of adjacent frequency locations. The unknown phase shift would get cancelled when the difference is taken. Using the proposed DQIM hiding in phase, we are able to survive the print-scan process with several hundred information bits hidden into the images.
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Kaushal Solanki, Upamanyu Madhow, Bangalore S. Manjunath, and Shivkumar Chandrasekaran "Modeling the print-scan process for resilient data hiding", Proc. SPIE 5681, Security, Steganography, and Watermarking of Multimedia Contents VII, (21 March 2005);

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