Abstract
This paper proposes a new robust 3-D object blind watermarking method using constraints in die spectral domain. Mesh watermarking in spectral domain has the property of spreading the information in unpredictable ways. thus increasing the security of the watermark. In the proposed method. firstly. the Laplacian matrix of the graphical object mesh is eiger decomposed. The coefficients corresponding to the higher spectra arc split into sets and each set is used for embed.. ding one bit. A bit of I is embedded by introducing, all asymmetry in the 3 l) distribution of the spectral coefficient, from the given set, while the distribution symmetry is enforced in the case when embedding a bit of 0. The Principal Component Analysis (PCA) is used for embedding the constraint, in the spectral domain by ensuring a minimal distortion. Comparison results are provided for various attacks.
| Original language | English |
|---|---|
| Title of host publication | 2008 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS |
| Place of Publication | NEW YORK |
| Publisher | IEEE |
| Pages | 441-444 |
| Number of pages | 4 |
| ISBN (Print) | 978-1-4244-1764-3 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | IEEE International Conference on Image Processing (ICIP 2008) - San Diego Duration: 12 Oct 2008 → 15 Oct 2008 |
Conference
| Conference | IEEE International Conference on Image Processing (ICIP 2008) |
|---|---|
| City | San Diego |
| Period | 12/10/08 → 15/10/08 |
Keywords
- Mesh watermarking
- spectral graph theory
- PCA
- OBJECTS