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Reversible Data Hiding in Shared Images Using Overlapped Coefficients in Polynomials
Author(s) -
Chunqiang Yu,
Xianquan Zhang,
Ching-Nung Yang,
Xinpeng Zhang,
Zhenjun Tang
Publication year - 2025
Publication title -
ieee transactions on circuits and systems for video technology
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.873
H-Index - 168
eISSN - 1558-2205
pISSN - 1051-8215
DOI - 10.1109/tcsvt.2025.3595375
Subject(s) - components, circuits, devices and systems , communication, networking and broadcast technologies , computing and processing , signal processing and analysis
Reversible data hiding (RDH) in shared images is an effective technique for securely storing and managing confidential images. However, most existing methods suffer from a noticeable data expansion and cannot achieve a good trade-off between data expansion and embedding rate. To address this issue, we propose a novel RDH in shared images (RDHSI) using overlapped coefficients in polynomials. In the proposed method, an original image is compressed losslessly to reduce its size before sharing, and then the compressed image is divided into a series of groups, where any two adjacent groups have an overlapped part. Next, each group is shared by our proposed ( k , n )-threshold based sharing technique, which is performed by the polynomial over Galois field GF(2 8 ) with overlapped coefficients. Finally, data embedding is performed on each shared image by bit replacement according to a constructed 0-1 matrix. Experimental results demonstrate that the proposed method can effectively reduce the sizes of the shared images and achieve a high embedding capacity.

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