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

  • Fei Peng
  • Shuai-ping Wang
  • Gang Luo
  • Min Long
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10602)


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.


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



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).


  1. 1.
    Low, S.H., Maxemchuk, N.F., Lapone, A.M.: Document identification for copyright protection using centroid detection. IEEE Trans. Commun. 46(3), 372–383 (1998)CrossRefGoogle Scholar
  2. 2.
    Low, S.H., Maxemchuk, N.F., Brassil, J.T., et al.: Document marking and identification using both line and word shifting. In: Proceeding of Fourteenth Annual Joint Conference of the IEEE Computer and Communications Societies, pp. 853–860 (1995)Google Scholar
  3. 3.
    Yang, J., Zhang, M.R.: Document marking technique based on both line and word shifting. J. Xian Univ. Post Telecommun. 11(3), 101–105 (2006)MathSciNetGoogle Scholar
  4. 4.
    Wu, M., Tang, E., Lin, B.: Data hiding in digital binary image. In: Proceeding of IEEE International Conference on Multimedia and Expo, vol. 1, pp. 393–396 (2000)Google Scholar
  5. 5.
    Wu, M., Liu, B.: Digital watermarking using shuffling. In: Proceeding of the International Conference on Image Processing, pp. 291–295 (1999)Google Scholar
  6. 6.
    Wu, M.: Multimedia data hiding, Ph.D. dissertation. Princeton Univ., Princeton, NJ (2001).
  7. 7.
    Wu, M., Liu, B.: Data hiding in binary image for authentication and annotation. IEEE Trans. Multimedia 6(4), 528–538 (2004)CrossRefGoogle Scholar
  8. 8.
    Lu, H., Kot, A.C., Cheng, J.: Secure data hiding in binary document images for authentication. In: Proceeding of the 2003 International Symposium on Circuits and Systems, vol. 3, pp. III-806–III-809. IEEE (2003)Google Scholar
  9. 9.
    Zhou, B., Chen, J.: A digital watermarking algorithm for binary image. J. Shanghai Jiaotong Univ. Chin. Ed. 38, 1509–1514 (2004)Google Scholar
  10. 10.
    Liu, C., Dai, Y., Wang, Z.: A novel information hiding method in binary images. J. Southeast Univ. S1, 98–101 (2003)Google Scholar
  11. 11.
    Lu, H., Shi, X., Shi, Y.Q., et al.: Watermark embedding in DC components of DCT for binary images. In: Proceeding of the 2002 IEEE Workshop on Multimedia Signal Processing, pp. 300–303 (2002)Google Scholar
  12. 12.
    Hou, Q., Junping, D., Li, L., et al.: Scanned binary image watermarking based on additive model and sampling. Multimedia Tools Appl. 74(21), 9407–9426 (2015)CrossRefGoogle Scholar
  13. 13.
    Lu, H., Kot, A.C., Shi, Y.Q.: Distance-reciprocal distortion measure for binary document images. IEEE Signal Process. Lett. 11(2), 228–231 (2004)CrossRefGoogle Scholar

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

Personalised recommendations