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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zheng, Shuli Li, Dandan Hu, Donghui Ye, Dengpan Wang, Lina Wang, Jinwei |
| Copyright Year | 2015 |
| Abstract | In this paper, a novel reversible data hiding algorithm for encrypted images is proposed. In encryption phase, chaotic sequence is applied to encrypt the original image. Then the least significant bits (LSBs) of pixels in encrypted image are losslessly compressed to leave place for secret data. With auxiliary bit stream, the lossless compression is realized by the Hamming distance calculation between the LSB stream and auxiliary stream. At receiving terminal, the operation is flexible, that is, it meets the requirement of separation. With the decryption key, a receiver can get access to the marked decrypted image which is similar to the original one. With data-hiding key, the receiver can successfully extract secret data from the marked encrypted image. With both keys, the receiver can get secret data and the exactly original image. Compared with existing methods, experiments show the feasibility and efficiency of the proposed method, especially in aspect of embedding capacity, embedding quality and error-free recovery with increasing payload. |
| Starting Page | 13765 |
| Ending Page | 13778 |
| Page Count | 14 |
| File Format | |
| ISSN | 13807501 |
| Journal | Multimedia Tools and Applications |
| Volume Number | 75 |
| Issue Number | 21 |
| e-ISSN | 15737721 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2015-09-12 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Information security Reversible data hiding Image encryption Lossless compression Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Hardware and Architecture Software Media Technology |
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