Export file:

Format

  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text

Content

  • Citation Only
  • Citation and Abstract

Image inpainting-based behavior image secret sharing

National University of Defense Technology, Hefei 230037, China

The polynomial-based image secret sharing (ISS) scheme encodes a secret image into n shadows assigned to n participants. The secret image with high resolution is decoded by Lagrange interpolation when collecting any k or more shadows. Thus, ISS is used in applications such as distributive storage in the cloud, digital watermarking, block chain, and access control. Meaningful shadows are significant in ISS because meaningful shadows decrease the suspicion of image encryption and increase the efficiency of shadow management. Generally, previously meaningful ISS schemes were achieved through embedding the shadows into cover images using information hiding techniques and suffer from large pixel expansion and complex decoding procedure. Digital image processing, such as inpainting (texture synthesis), is a standard technique in multimedia applications. It will be highly significant if ISS can be performed in the processing of a normal digital image processing technique. Generally, the encoding method of an ISS scheme entails the use of a mathematical function that is sensitive to any slight change in the ISS output; therefore, the development of a method for performing the ISS procedure and simultaneously achieving image processing behavior is a key challenge. In this paper, we exploit the behavior ISS (BISS) and realize an image inpainting-based BISS scheme for the (k, n) threshold. Using screening operations, a secret image is encoded into the pixels of cover images by polynomial-based ISS in the processing of inpainting shadows to obtain meaningful shadows similar to the input cover images. In addition, the secret image can be losslessly decoded by Lagrange interpolation when collecting any k or more shadows. Experiments are given to confirm the efficiency of the scheme.
  Figure/Table
  Supplementary
  Article Metrics

References

1. X. Yan, Y. Lu, L. Liu, S. Wan, W. Ding, H. Liu, Exploiting the homomorphic property of visual cryptography, Int. J. Digital Crime Forensics, 9 (2017), 45-56.

2. A. Belazi, A. A. A. El-Latif, A simple yet efficient s-box method based on chaotic sine map, Optik, 130 (2017), 1438-1444.

3. Y. Cheng, Z. Fu, B. Yu, Improved visual secret sharing scheme for qr code applications, IEEE Trans. Inf. Forensics Secur., 13 (2018), 2393-2403.

4. G. Wang, F. Liu, W. Q. Yan, Basic visual cryptography using braille, Int. J. Digital Crime Forensics, 8 (2016), 85-93.

5. M. Naor, A. Shamir, Visual cryptography, Workshop on the Theory and Application of of Cryptographic Techniques, Springer, Springer, Perugia, Italy, 1995, 1-12.

6. A. Shamir, How to share a secret, Commun. ACM, 22 (1979), 612-613.

7. X. Yan, L. Liu, Y. Lu, Q. Gong, Security analysis and classification of image secret sharing, J. Inf. Secur. Appl., 47 (2019), 208-216,

8. X. Yan, J. Li, Y. Lu, L. Liu, G. Yang, H. Chen, Relations between secret sharing and secret image sharing, Security with Intelligent Computing and Big-data Services Springer International Publishing, Cham, 2020, 79-93.

9. W. Ding, K. Liu, X. Yan, H. Wang, L. Liu, Q. Gong, An image secret sharing method based on matrix theory, Symmetry, 10 (2018), 530.

10. Z. Zhou, G. R. Arce, G. Di Crescenzo, Halftone visual cryptography, IEEE Trans. Image Process., 15 (2006), 2441-2453.

11. Z. Wang, G. R. Arce, G. Di Crescenzo, Halftone visual cryptography via error diffusion, IEEE Trans. Inf. Forensics Secur., 4 (2009), 383-396.

12. F. Liu, C. Wu, Embedded extended visual cryptography schemes, IEEE Trans. Inf. Forensics Secur., 6 (2011), 307-322.

13. J. Weir, W. Yan, A comprehensive study of visual cryptography, Transactions on Data Hiding and Multimedia Security V, Springer, Berlin, Heidelberg, 2010, 70-105.

14. X. Yan, Y. Lu, L. Liu, General meaningful shadow construction in secret image sharing, IEEE Access, 6 (2018), 45246-45255.

15. T. Guo, J. Jiao, F. Liu, W. Wang, On the pixel expansion of visual cryptography scheme, Int. J. Digital Crime Forensics, 9 (2017), 38-44.

16. X. Yan, X. Liu, C. N. Yang, An enhanced threshold visual secret sharing based on random grids, J. Real-Time Image Process., 14 (2018), 61-73.

17. X. Yan, S. Wang, X. Niu, C. N. Yang, Halftone visual cryptography with minimum auxiliary black pixels and uniform image quality, Digital Signal Process., 38 (2015), 53-65.

18. C. C. Thien, J. C. Lin, Secret image sharing, Comput. Graphics, 26 (2002), 765-770.

19. C. N. Yang, C. B. Ciou, Image secret sharing method with two-decoding-options: Lossless recovery and previewing capability, Image Vision Comput., 28 (2010), 1600-1610.

20. L. Bao, S. Yi, Y. Zhou, Combination of sharing matrix and image encryption for lossless (k, n)-secret image sharing, IEEE Trans. Image Process., 26 (2017), 5618-5631.

21. Y. Liu, C. Yang, Y. Wang, L. Zhu, W. Ji, Cheating identifiable secret sharing scheme using symmetric bivariate polynomial, Inf. Sci., 453 (2018), 21-29.

22. P. Li, P. J. Ma, X. H. Su and C. N. Yang, Improvements of a two-in-one image secret sharing scheme based on gray mixing model, J. Visual Communi. Image Representation, 23 (2012), 441-453.

23. P. Li, C. N. Yang, Q. Kong, A novel two-in-one image secret sharing scheme based on perfect black visual cryptography, J. Real-Time Image Process., 14 (2018), 41-50.

24. A. Criminisi, P. Perez, K. Toyama, Region filling and object removal by exemplar-based image inpainting, IEEE Trans. Image Process., 13 (2004), 1200-1212.

25. W. Shen, X. Song, X. Niu, Hiding traces of image inpainting, Res. J. Appl. Sci. Eng. Technol., 4 (2012), 4962-4968.

26. X. Yan, Y. Lu, L. Liu, S. Wang, Partial secret image sharing for (k,n) threshold based on image inpainting, J. Visual Commun. Image Representation, 50 (2018), 135-144,

27. Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, Image quality assessment: From error visibility to structural similarity, IEEE Trans. Image Process., 13 (2004), 600-612.

28. X. Yan, Q. Gong, L. Li, G. Yang, Y. Lu, J. Liu, Secret image sharing with separate shadow authentication ability, Signal Process. Image Commun., 82 (2020), 115721.

© 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Article outline

Show full outline
Copyright © AIMS Press All Rights Reserved