Robust Image Hashing Based on SPIHT
| Autor: | Chin-Feng Chen, 陳慶鋒 |
|---|---|
| Rok vydání: | 2005 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 93 With the advancement of multimedia and networking techniques, the problem of unauthorized use of digital contents becomes more and more serious. Therefore, media hashing becomes an important technique for copyright tracing and protection. In this thesis, a novel robust image hashing scheme is proposed. We extract the identification information of images through the set partitioning in hierarchical trees (SPIHT) algorithm, widely employed in image compression. The significance maps, the spatial distributions of significant wavelet coefficients, are formed from the sorting pass of SPIHT. We build the hash values from the autocorrelograms of the significance maps. To verify the robustness of the proposed methods, experiments are conducted on the Stirmark benchmarking system. The proposed hash sequence achieves good performance with reasonable complexity. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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