Name
Title | ||
|---|---|---|
Robust image hashing with tampering recovery capability via low-rank and sparse representation |
Abstract | ||
|---|---|---|
Multimedia hash is an effective solution to image authentication and tampering identification. We propose an image hashing scheme based on Low-Rank and Sparse Representation. Low-Rank Representation is applied to the attacked image to obtain image feature matrix and error matrix. Then the properties of dimension reduction and tampering recovery inherent in Low-Rank Representation and Compressive Sensing are exploited for hash design. We use Compressive Sensing to recover the primary feature of image. Furthermore we use Low-Rank Representation to recover the image from tampering. Thanks to the error correction and structure recover capabilities of Low-Rank Representation, experiments reveal that our proposed hashing scheme is robust to content preserving modifications and has better image recovery performance compared with existing hashing schemes. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11042-015-2688-0 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Image hashing,Low-rank representation,Compressive sensing,Tampering recovery | Computer vision,Authentication,Dimensionality reduction,Pattern recognition,Matrix (mathematics),Computer science,Sparse approximation,Feature hashing,Error detection and correction,Artificial intelligence,Hash function,Compressed sensing | Journal |
Volume | Issue | ISSN |
75 | 13 | 1380-7501 |
Citations | PageRank | References |
3 | 0.38 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Liu | 1 | 34 | 2.69 |
| Di Xiao | 2 | 329 | 24.54 |
| yunpeng xiao | 3 | 6 | 1.79 |
| Yushu Zhang | 4 | 404 | 37.91 |