A robust reversible watermarking scheme overcomes the misalignment problem of generalized histogram shifting

There are a lot of reversible watermarking (RW) methods have been proposed to losslessly embed watermarks. However, the embedding process of reversible watermarks is fragile, i.e., the hiding data can not resist any attacks. To the end, the robust reversible watermarking (RRW) algorithms are propose...

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Bibliographic Details
Published in:Multimedia tools and applications 2023-02, Vol.82 (5), p.7207-7227
Main Authors: Li, Qianwen, Wang, Xiang, Pei, Qingqi
Format: Article
Language:English
Subjects:
Algorithms
Bins
Computer Communication Networks
Computer Science
Data encryption
Data Structures and Information Theory
Embedding
Histograms
Methods
Misalignment
Multimedia
Multimedia Information Systems
Robustness
Special Purpose and Application-Based Systems
Watermarking
Wavelet transforms
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Summary:There are a lot of reversible watermarking (RW) methods have been proposed to losslessly embed watermarks. However, the embedding process of reversible watermarks is fragile, i.e., the hiding data can not resist any attacks. To the end, the robust reversible watermarking (RRW) algorithms are proposed, which enable the embedded information can resist incidental alteration. Generalized histogram shifting (GHS) is a mainstream algorithm of RRW, which extends the traditional histogram shifting (HS) by shifting extra space. However, a non-synchronous problem may be generated under some attacks due to the shifting bins are misjudged as embedding bins, which results watermarks are meaningless. In this work, we propose a RRW global embedding scheme to deal with this problem. Specifically, the shifted bins in GHS are further extended to embed data, which ensures that all blocks in the image are embedded information. As a result, the non-synchronous problem can be solved by our method. Experiment results show that the proposed method outperforms some other state of the art works.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-022-13611-7