DOI: 10.3390/electronics13081529 ISSN: 2079-9292

Progressive Reconstruction on Region-Based Secret Image Sharing

Yanxiao Liu, Qindong Sun, Zhihai Yang, Yongluan Zhou, Weihua Zhao, Dantong Shi
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering

(k,n) threshold progressive secret image sharing (PSIS) has become an important issue in recent years. In (k,n) 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 (k,n) PSIS that achieves a novel reconstruction model, where all regions possess the property of (k,n) 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.

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