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An enhanced threshold visual secret sharing based on random grids

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Abstract

Random grids (RG)-based visual secret sharing (VSS) scheme can easily avoid the pixel expansion problem as well as requires no codebook design. However, previous scheme still suffers from low visual quality. In this paper, a new threshold RG-based VSS scheme aiming at improving the visual quality of the previewed image is presented. Compared with previous schemes, our scheme can gain better visual quality in the reconstructed images as well as (kn) threshold. In addition, the factor affecting the visual quality is analyzed and the differences between related approaches are discussed.

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Acknowledgments

The authors would like to thank the anonymous reviewers for their valuable discussions and comments. The authors would like to thank to Dr. Feng Liu and Prof. Mohamed Amin for their valuable discussions. This work is supported by the National Natural Science Foundation of China (Grant Numbers: 61100187, 61301099, 61361166006).

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Correspondence to Xuehu Yan.

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Yan, X., Liu, X. & Yang, CN. An enhanced threshold visual secret sharing based on random grids. J Real-Time Image Proc 14, 61–73 (2018). https://doi.org/10.1007/s11554-015-0540-4

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