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Reversible data hiding in encrypted images based on Lasso regression predictor and dynamic secret sharing

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成果类型:
期刊论文
作者:
Yu Ren;Jiaohua Qin*;Xuyu Xiang;Yun Tan
通讯作者:
Jiaohua Qin
作者机构:
[Yu Ren; Jiaohua Qin; Xuyu Xiang; Yun Tan] Central South University of Forestry and Technology, School of Electronic Information and Physics, Changsha, China
通讯机构:
[Jiaohua Qin] C
Central South University of Forestry and Technology, School of Electronic Information and Physics, Changsha, China
语种:
英文
关键词:
Reversible data hiding;Encrypted images;Lasso regression predictor;Dynamic secret sharing
期刊:
Applied Intelligence
ISSN:
0924-669X
年:
2025
卷:
55
期:
2
页码:
1-21
基金类别:
This work was supported in part by the National Natural Science Foundation of China under Grant 62372478, in part by the Changsha Municipal Natural Science Foundation under Grant kq2402262.
机构署名:
本校为第一且通讯机构
摘要:
Reversible data hiding in encrypted images (RDH-EI) integrates encryption with information hiding, enabling the embedding of additional data while ensuring full recovery of the original image, widely used in multimedia data protection and forensics. However, with the increasingly serious problem of data islands, the existing RDH-EI schemes for end-to-end communication scenarios can no longer meet the application requirements for multi-party data sharing. For solving this problem, this paper proposes an RDH-EI method based on Lasso regression predictor and dynamic secret sharing. First, Lasso r...

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