Name
Abstract | ||
|---|---|---|
In order to protect the copyright of the high dynamic range (HDR) video, a robust HDR video watermarking method based on the human visual system (HVS) model and Tensor-QR decomposition (T-QR) is proposed. In order to obtain the main information of the HDR video, the key frames are extracted by detecting the scene change, and each key frame is considered as the third-order tensor for preserving its main characteristics. Each key frame is divided into non-overlapping blocks, and each block is decomposed by using T-QR to obtain the orthogonal tensor, which includes three matrices and represents main energies of the frame. Since the second matrix has more correlations of the frame than other two matrices, it is used to embed watermark for robustness. Moreover, to obtain the trade-off between watermarking robustness and the visual quality, the HVS model of each key frame is computed by using the luminance perception, image contrast and contrast masking for determining the watermark embedding strength. Experiment results show that the proposed method can resist a variety of tone mapping and video attacks, and is more robust than existing watermarking methods. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s11042-022-13145-y | Multimedia Tools and Applications |
Keywords | DocType | Volume |
HDR video, The HVS model, T-QR, Robust watermarking | Journal | 81 |
Issue | ISSN | Citations |
23 | 1380-7501 | 0 |
PageRank | References | Authors |
0.34 | 23 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng Du | 1 | 0 | 0.34 |
| Ting Luo | 2 | 0 | 0.34 |
| Haiyong Xu | 3 | 0 | 0.34 |
| Yang Song | 4 | 379 | 53.25 |
| Chunpeng Wang | 5 | 7 | 5.28 |
| Li Li | 6 | 237 | 34.83 |