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The Review of Secret Image Sharing

Yao Wan1,2, Lingzhi Liao1,2,*, Zhili Zhou3, Hengfu Yang4, Fei Peng3, Zhilin Huo5

1 Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, China
2 School of Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China
3 Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, 510006, Guangdong, China
4 Department of Information Science and Engineering, Hunan First Normal University, Changsha, 410205, China
5 CSSC Systems Engineering Research Institute, Beijing, China

* Corresponding Author: Lingzhi Liao. Email: email

Journal of New Media 2023, 5(1), 45-53. https://doi.org/10.32604/jnm.2023.039962

Abstract

Secret image sharing (SIS) is a significant research topic of image information hiding, which divides the image into multiple shares and distributes them to multiple parties for management and preservation. In order to reconstruct the original image, a subset with predetermined number of shares is needed. And just because it is not necessary to use all of the shares to make a reconstruction, SIS creates a high which breaks the limitations of traditional image protection methods, but at the same time, it causes a reduce of safety. Recently, new technologies, such as deep learning and blockchain, have been applied into SIS to improve its and . This paper gives an overall review of SIS, discusses four important approaches for SIS, and makes a comparison analysis among them from the perspectives of pixel expansion, tamper resistance, etc. At the end, this paper indicates the possible research directions of SIS in the future.

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Cite This Article

Y. Wan, L. Liao, Z. Zhou, H. Yang, F. Peng et al., "The review of secret image sharing," Journal of New Media, vol. 5, no.1, pp. 45–53, 2023.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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