Abstract
Visual secret sharing (VSS) by random grids (RG) has gained much attention since it can avoid the pixel expansion problem without codebook design. However, all of the reported RG-based VSS schemes fail to fit normal color representation method of digital images, which leads to additional computational time to flip the bits to fit with digital applications. In this paper, the same color representation method of VSS as normal digital images is exploited. Based on the same color representation, a RG-based VSS based on Boolean operations is given. Experimental results show the effectiveness of the exploited color representation and extended scheme.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kafri, O., Keren, E.: Encryption of pictures and shapes by random grids. Optics Letters 12(6), 377–379 (1987)
Shyu, S.J.: Image encryption by random grids. Pattern Recognition 40(3), 1014–1031 (2007)
Chen, T.H., Tsao, K.H.: Threshold visual secret sharing by random grids. Journal of Systems and Software 84(7), 1197–1208 (2011)
Yan, X., Wang, S., Niu, X.: Threshold construction from specific cases in visual cryptography without the pixel expansion. Signal Processing (2014), doi:10.1016/j.sigpro.2014.06.011
Wang, D., Zhang, L., Ma, N., Li, X.: Two secret sharing schemese based on boolean operations. Pattern Recognit. 40(10), 2776–2785 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Yan, X., Wang, S., Niu, X. (2014). Threshold Visual Secret Sharing Based on Boolean Operations and Random Grids. In: Loo, C.K., Yap, K.S., Wong, K.W., Beng Jin, A.T., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8836. Springer, Cham. https://doi.org/10.1007/978-3-319-12643-2_75
Download citation
DOI: https://doi.org/10.1007/978-3-319-12643-2_75
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12642-5
Online ISBN: 978-3-319-12643-2
eBook Packages: Computer ScienceComputer Science (R0)