A novel extended secret image sharing scheme based on sharing matrix

Xiaopeng Li,Zhengxin Fu,Bin Yu

Journal of Visual Communication and Image Representation(2024)

引用 0|浏览6
暂无评分
摘要
Ensuring the safety of communicating parties while sharing secret information and concealing their communication behavior in everyday activities has become an increasingly important issue. One approach to address this challenge is through a secret image sharing (SIS) scheme that utilizes meaningful shares. However, existing SIS techniques face ongoing challenges in enhancing the visual quality of those shares while ensuring lossless recovery of the secret image. To overcome these challenges, we propose a novel extended secret image sharing scheme (ESIS) based on a sharing matrix. By locating the secret pixel value within a search window centered on the coordinate of the pixel value pair of the cover images, our method achieves lossless recovery of the secret image with resulting shares that are natural images of continuous tone indistinguishable from original cover images by human visual perception. Extensive experimental results demonstrate its effectiveness and advantages, supported by theoretical analysis.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要