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Pattern Analysis and Applications
Erschienen in: Pattern Analysis and Applications 1/2023

05.08.2022 | Theoretical Advances

Separable robust data hiding in encrypted image based on continuous quadrant tree and 2Bin N-nary

verfasst von: Shi Hui, Hu Baoyue, Chen Meihan, Li Yanni, Ren Yonggong

Erschienen in: Pattern Analysis and Applications | Ausgabe 1/2023

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Abstract

Data hiding is a noteworthy research topic in digital technology for years. It can be used for copyright protection, authentication, content-ownership verification, and sending patient information. Focusing on how to improve the security, capacity, visual quality and robustness, a separable robust data hiding in encrypted image based on Continuous Quadrant Tree (CQT) and 2Bin N-nary is proposed. In this work, the definition of CQT, constraints of the sub-tree roots, generation and traversal of CQT are proposed for the first time. To achieve security, matrix traversal, CQT and rotation encryption are combined. When select embedding interval, a histogram preprocessing algorithm based on pixel fluctuation is presented. This paper achieves separable decryption and extraction. Experimental results demonstrate that the capacity has been improved by 50–70% compared with the similar scheme. It not only achieves high security and high visual quality, but also is robust to various attacks.
Vorheriger Artikel Deep learning for location prediction on noisy trajectories
Nächster Artikel Body landmark detection with an extremely small dataset using transfer learning

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Metadaten
Titel
Separable robust data hiding in encrypted image based on continuous quadrant tree and 2Bin N-nary
verfasst von
Shi Hui
Hu Baoyue
Chen Meihan
Li Yanni
Ren Yonggong
Publikationsdatum
05.08.2022
Verlag
Springer London
Erschienen in
Pattern Analysis and Applications / Ausgabe 1/2023
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-022-01096-x

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