Print-Scan Resilient Binary Map Watermarking Based on Extended Additive Noise Model and Scrambling

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10602)

Abstract

As binary map has the characteristics of less and uneven distributed black pixels, the existing print-scan resilient watermarking cannot be well suited for it. In this paper, a novel blind print-scan resilient watermarking scheme for binary map is proposed based on extended additive noise model and scrambling. Firstly, the flipping probability of each pixel is calculated. After that, the binary map is scrambled and partitioned into blocks. Finally, based on the extended additive noise model of print-scan process and the number of the corresponding pixels, the watermark information is embedded. Experimental results show that the proposed scheme can not only provide large watermark capacity and good imperceptibility, but also can resist the impact of print-scan on the image, and has strong robustness.

Keywords

Binary map Print-scan resilient watermarking Image scrambling Print-scan additive noise model 

Notes

Acknowledgements

This work was supported in part by project supported by National Natural Science Foundation of China (Grant No. 61370225, 61572182), project supported by Hunan Provincial Natural Science Foundation of China (Grant No. 15JJ2007).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of Computer Science and Electronic EngineeringHunan UniversityChangshaPeople’s Republic of China
  2. 2.School of Computer and Communication EngineeringChangsha University of Science and TechnologyChangshaPeople’s Republic of China

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