Abstract
In this paper, a novel reversible data hiding (RDH) scheme for encrypted digital images using integer wavelet transform, histogram shifting and orthogonal decomposition is presented. This scheme takes advantage of the Laplacian-like distribution of integer wavelet high-frequency coefficients in high frequency sub-bands and the independence of orthogonal coefficients to facilitate data hiding operation in encrypted domain, and to keep the reversibility. Experimental results has demonstrated that this scheme outperforms all of other existing RDH schemes in encrypted domain in terms of higher PSNR at the same amount of payload. Compared with the state-of-the-arts, the proposed scheme can be applied to all natural images with higher embedding rate.
Original language | English (US) |
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Pages (from-to) | 1191-1202 |
Number of pages | 12 |
Journal | Multidimensional Systems and Signal Processing |
Volume | 29 |
Issue number | 3 |
DOIs | |
State | Published - Jul 1 2018 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Science Applications
- Artificial Intelligence
- Applied Mathematics
Keywords
- Encrypted images
- Histogram shifting
- Integer wavelet transform
- Reversible data hiding