TY  - EJOU
AU  - Wan, Yao 
AU  - Liao, Lingzhi 
AU  - Zhou, Zhili 
AU  - Yang, Hengfu 
AU  - Peng, Fei 
AU  - Huo, Zhilin 

TI  - The Review of Secret Image Sharing
T2  - Journal of New Media

PY  - 2023
VL  - 5
IS  - 1
SN  - 2579-0129

AB  - 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 <i></i> 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 <i></i> and <i></i>. 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.
KW  - Secret image sharing; blockchain; deep learning

DO  - 10.32604/jnm.2023.039962