Abstract | ||
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Reversible data hiding in encrypted images (RDHEI) consists of embedding data in the encrypted domain. In current state-of-the-art methods, most of them use least significant bit (LSB) substitution or prediction, but fail to embed a significant amount of information. Recently, a new class of RDHEI method, based on most significant bit (MSB) substitution, has emerged. By exploiting the natural correlation between pixels in the clear domain, it is possible to have a payload close to 1 bpp with a very high image quality, without adding overhead. In particular, in the approach based on embedded prediction errors (EPE-based approach) [6], the authors propose to embed the prediction error location information in the encrypted MSB-plane. In this paper, we present a huge-capacity RDHEI (HCRDHEI) method. In fact, we are interested in improving the proposed EPE-based RDHEI approach by using recursively other bit-planes, from MSB to LSB as long as it is possible. Indeed, depending on the image content, bit-planes can easily be predicted, and so most of them can be substituted by bits of a secret message. According to the obtained results, the payload can be much higher than 1 bpp (median equal to 1.749 bpp, on average 1.836 bpp, and 5.408 bpp in the best case), while preserving perfect reversibility. |
Year | DOI | Venue |
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2018 | 10.1109/WIFS.2018.8630788 | 2018 IEEE International Workshop on Information Forensics and Security (WIFS) |
Keywords | Field | DocType |
huge-capacity reversible data hiding,encrypted images,LSB,natural correlation,high image quality,embedded prediction errors,prediction error location information,huge-capacity RDHEI method,image content,perfect reversibility | Most significant bit,Embedding,Computer science,Information hiding,Algorithm,Image quality,Encryption,Theoretical computer science,Pixel,Least significant bit,Payload | Conference |
ISSN | ISBN | Citations |
2157-4766 | 978-1-5386-6537-4 | 1 |
PageRank | References | Authors |
0.35 | 7 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pauline Puteaux | 1 | 31 | 3.94 |
William Puech | 2 | 535 | 76.74 |