Progressive Reconstruction on Region-Based Secret Image Sharing
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Progressive Reconstruction on Region-Based Secret Image Sharing. / Liu, Yanxiao; Sun, Qindong; Yang, Zhihai; Zhou, Yongluan; Zhao, Weihua; Shi, Dantong.
In: Electronics (Switzerland), Vol. 13, No. 8, 1529, 2024.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Progressive Reconstruction on Region-Based Secret Image Sharing
AU - Liu, Yanxiao
AU - Sun, Qindong
AU - Yang, Zhihai
AU - Zhou, Yongluan
AU - Zhao, Weihua
AU - Shi, Dantong
N1 - Publisher Copyright: © 2024 by the authors.
PY - 2024
Y1 - 2024
N2 - (Formula presented.) threshold progressive secret image sharing (PSIS) has become an important issue in recent years. In (Formula presented.) PSIS, a secret image is encrypted into n shadows such that k to n shadows can gradually reconstruct the secret image. Since an image can usually be divided into different regions in such a way that each region includes information with different importance levels, region-based PSIS has also been proposed where the reconstruction of different regions requires different thresholds on the shadow numbers. In this work, we propose new region-based (Formula presented.) PSIS that achieves a novel reconstruction model, where all regions possess the property of (Formula presented.) threshold progressive reconstruction, but the same number of shadows recovers a lower proportion of information in regions with a higher importance level. This new reconstruction model can further complete the application of region-based PSIS, where each region has an equal minimum threshold for reconstruction, and the difference in importance levels between regions can be reflected in the proportion of the recovered image using the same number of shadows. A theoretical analysis proves the correctness of the proposed scheme, and the experimental results from four secret images also show the practicality and effectiveness of the proposed scheme.
AB - (Formula presented.) threshold progressive secret image sharing (PSIS) has become an important issue in recent years. In (Formula presented.) PSIS, a secret image is encrypted into n shadows such that k to n shadows can gradually reconstruct the secret image. Since an image can usually be divided into different regions in such a way that each region includes information with different importance levels, region-based PSIS has also been proposed where the reconstruction of different regions requires different thresholds on the shadow numbers. In this work, we propose new region-based (Formula presented.) PSIS that achieves a novel reconstruction model, where all regions possess the property of (Formula presented.) threshold progressive reconstruction, but the same number of shadows recovers a lower proportion of information in regions with a higher importance level. This new reconstruction model can further complete the application of region-based PSIS, where each region has an equal minimum threshold for reconstruction, and the difference in importance levels between regions can be reflected in the proportion of the recovered image using the same number of shadows. A theoretical analysis proves the correctness of the proposed scheme, and the experimental results from four secret images also show the practicality and effectiveness of the proposed scheme.
KW - progressive reconstruction
KW - proportion
KW - region
KW - secret image sharing
U2 - 10.3390/electronics13081529
DO - 10.3390/electronics13081529
M3 - Journal article
AN - SCOPUS:85191346724
VL - 13
JO - Electronics (Switzerland)
JF - Electronics (Switzerland)
SN - 2079-9292
IS - 8
M1 - 1529
ER -
ID: 392108969