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Reversible Data Hiding With Hierarchical Block Variable Length Coding for Cloud Security

delete2023-09-01
delete16
PRE
AI
许
许舒颖 (Shuying Xu)
J
Ji-Hwei Horng *
C
Ching‐Chun Chang
C
Chin‐Chen Chang
DOI:10.1109/TDSC.2022.3219843delete
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Abstract

Abstract

En 中文
Reversible data hiding in encrypted images (RDHEI) can serve as a technical solution to secure data in applications that rely on cloud storage. The key features of an RDHEI scheme are reversibility, security, and data embedding rate. To enlarge the embedding rate, this paper proposes a novel RDHEI scheme based on the median edge detector (MED) and a new proposed hierarchical block variable length coding (HBVLC) technique. In our scheme, the image owner first predicts the pixel values of the carrier image with MED. Then, the prediction error array is sliced into bit-planes and encoded plane by plane. By leveraging the inherent features of the prediction error bit-planes, the image owner adaptively decomposes a bit-plane into blocks of different hierarchical levels based on its local smoothness and encodes the blocks with a variable length coding method. As a result, the carrier image is efficiently compressed to provide spare room for data embedding. The encoded carrier image is then processed with the conventional steps of an RDHEI technique. Experimental results show that the proposed scheme not only can restore the secret data and the carrier image without loss but also outperforms state-of-the-art methods in the embedding rate for images with various features.
Keywords:
Cryptography
Image coding
Encryption
Medical diagnostic imaging
Encoding
Medical services
Streaming media
Image encryption
Median-edge detector
Reversible data hiding
Variable-length coding

Journal

IEEE Transactions on Dependable and Secure Computing cover
IEEE Transactions on Dependable and Secure Computing
IF:
7.5
Papers:
2.4K
Citations:
9.6K

Organization

National Quemoy University cover
National Quemoy University
Scholars:
203
Papers: 313
Citations: 197
U
University of Warwick
Scholars:
2.2W
Papers: 2.2W
Citations: 85
Cited Papers

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