Separable and Error-Free Reversible Data Hiding in Encrypted Image with High Payload
Joint Authors
Yin, Zhaoxia
Luo, Bin
Hong, Wien
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper proposes a separable reversible data-hiding scheme in encrypted image which offers high payload and error-free data extraction.
The cover image is partitioned into nonoverlapping blocks and multigranularity encryption is applied to obtain the encrypted image.
The data hider preprocesses the encrypted image and randomly selects two basic pixels in each block to estimate the block smoothness and indicate peak points.
Additional data are embedded into blocks in the sorted order of block smoothness by using local histogram shifting under the guidance of the peak points.
At the receiver side, image decryption and data extraction are separable and can be free to choose.
Compared to previous approaches, the proposed method is simpler in calculation while offering better performance: larger payload, better embedding quality, and error-free data extraction, as well as image recovery.
American Psychological Association (APA)
Yin, Zhaoxia& Luo, Bin& Hong, Wien. 2014. Separable and Error-Free Reversible Data Hiding in Encrypted Image with High Payload. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050302
Modern Language Association (MLA)
Yin, Zhaoxia…[et al.]. Separable and Error-Free Reversible Data Hiding in Encrypted Image with High Payload. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1050302
American Medical Association (AMA)
Yin, Zhaoxia& Luo, Bin& Hong, Wien. Separable and Error-Free Reversible Data Hiding in Encrypted Image with High Payload. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050302
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050302