Name
Abstract | ||
|---|---|---|
In this paper, we propose a new watermarking method based on Harris interest points and Fourier Clifford Transform. We employed Harris detector to select robust interest points and to generate some non-overlapped circular interest regions. Each region was transformed into Clifford Fourier domain and the watermark was embedded into the Clifford transform coefficients magnitude. Experimental results show the robustness of the proposed method against JPEG compression |
Year | Venue | Field |
|---|---|---|
2016 | VISIGRAPP (3: VISAPP) | Computer vision,Digital watermarking,Harmonic wavelet transform,Computer science,Fourier transform,Robustness (computer science),Watermark,Artificial intelligence,Hartley transform,Jpeg compression,Detector |
DocType | Citations | PageRank |
Conference | 1 | 0.37 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maroua Affes | 1 | 1 | 0.37 |
| Malek Sellami Meziou | 2 | 1 | 0.37 |
| Yassine Lehiani | 3 | 5 | 2.13 |
| Marius Preda | 4 | 192 | 27.17 |
| Faouzi Ghorbel | 5 | 361 | 46.48 |