Get all the updates for this publication
Articles
Wavelet packet transform-based robust video watermarking techniquePublished in Springer
2012
Volume: 37
Issue: 3
Pages: 371 - 388
In this paper, a wavelet packet transform (WPT)-based robust video watermarking algorithm is proposed. A visible meaningful binary image is used as the watermark. First, sequent frames are extracted from the video clip. Then, WPT is applied on each frame and from each orientation one sub-band is selected based on block mean intensity value called robust sub-band. Watermark is embedded in the robust sub-bands based on the relationship between wavelet packet coefficient and its 8-neighbour (D8) coefficients considering the robustness and invisibility. Experimental results and comparison with existing algorithms show the robustness and the better performance of the proposed algorithm. © 2012 Indian Academy of Sciences.
Postprint Version
Content may be subject to copyright.This is a post-peer-review, pre-copyedit version of an article published in Sadhana. The final authenticated version is ... ...This is a post-peer-review, pre-copyedit version of an article published in Sadhana. The final authenticated version is available online at: https://doi.org/10.1007/s12046-012-0081-5. The following terms of use apply: https://www.springer.com/gp/open-access/publication-policies/aam-terms-of-use.
Figures & Tables (18)
Figure 1. Decomposition of the signal f (t) via WPT. 
Figure 2. Orientation of WPT in proposed algorithm. 
Figure 3. Block diagram of proposed video watermarking algorithm. 
Figure 4. (a) First mobile video frame. (b) Watermarked first ... 
Table 1. PSNR and NHS for mobile and template videos. 
Figure 5. (a) First template video frame. (b) Watermarked first ... 
Figure 6. PSNR (in DB) values for all video frames. 
Figure 7. NHS for extracted watermark from each video frame. - 10 figures hidden
About the journal
| Journal | Data powered by SciSpaceSadhana - Academy Proceedings in Engineering Sciences |
|---|---|
| Publisher | Data powered by SciSpaceSpringer |
| ISSN | 02562499 |
Authors (1)
Gaurav Bhatnagar- Department of Mathematics IIT Jodhpur
- ASYSST: A framework for synopsis synthesis empowering visually impaired
- Knowledge-driven description synthesis for floor plan interpretation
- Sugaman: Describing floor plans for visually impaired by annotation learning and proximity-based grammar
- A framework for the conversion of textual bigdata into 2d architectural floor plan
