Abstract
The rising use of 3D digital products has increased the demand for copyright protection. In this paper, we propose a novel and robust 3D watermarking method with high imperceptibility based on EMD (empirical mode decomposition) on surfaces. It first defines a normalized modulus signal on a 3D host model so as to involve EMD into 3D watermarking effectively. And then, it extracts different scale features of the defined signal by using EMD to locate the proper embedding positions. After this, the watermark signal is embedded repeatedly and cyclically into the 3D host model to enhance the robustness. The embedding strength is optimized according to a predefined fidelity parameter to control the imperceptibility of the watermark. Many experiment results show that the proposed method can obtain good results against various attacks while maintaining high invisibility, such as pseudo-random noise, Laplacian smoothing, simplification, subdivision, cropping, and similarity transformation. Furthermore, it is very competitive with the current state-of-the-art 3D watermarking techniques in terms of robustness and invisibility.













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References
Ohbuchi, R., Masuda, H., Aono, M.: Embedding data in 3d models, in: International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services, Springer, pp. 1–10 (1997)
Narendra, M., Valarmathi, M., Anbarasi, L.: Watermarking techniques for three-dimensional (3d) mesh models: a survey. Multimedia Syst. 28(2), 623–641 (2022)
Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.-C., Tung, C.C., Liu, H.H.: The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. Royal Soc. London Series A Math., Phys. Eng. Sci. 454(1971), 903–995 (1998)
Nunes, J.C., Bouaoune, Y., Delechelle, E., Niang, O., Bunel, P.: Image analysis by bidimensional empirical mode decomposition. Image Vis. Comput. 21(12), 1019–1026 (2003)
Wang, X., Hu, K., Hu, J., Du, L., Ho, A.T., Qin, H.: Robust and blind image watermarking via circular embedding and bidimensional empirical mode decomposition. Vis. Comput. 36(10), 2201–2214 (2020)
Hu, K., Wang, X., Hu, J., Wang, H., Qin, H.: A novel robust zero-watermarking algorithm for medical images. Vis. Comput. 37(9), 2841–2853 (2021)
Hu, K., Wang, X., Hu, J., Li, D., Du, L., Wang, H., Qin, H.: Robust and efficient image watermarking via emd and dimensionality reduction. Vis. Comput. 38(6), 2153–2170 (2022)
Xie, Q., Hu, J., Wang, X., Zhang, D., Qin, H.: Novel and fast emd-based image fusion via morphological filter. Vis. Comput. 39, 4249–4265 (2023)
Xie, Q., Hu, J., Wang, X., Du, Y., Qin, H.: Novel optimization-based bidimensional empirical mode decomposition. Digital Signal Process. 133, 103891 (2023)
Wang, H., Su, Z., Cao, J., Wang, Y., Zhang, H.: Empirical mode decomposition on surfaces. Graph. Models 74(4), 173–183 (2012)
Wang, X., Hu, J., Zhang, D., Qin, H.: Efficient emd and hilbert spectra computation for 3d geometry processing and analysis via space-filling curve. Vis. Comput. 31(6), 1135–1145 (2015)
Hu, J., Wang, X., Qin, H.: Novel and efficient computation of Hilbert–Huang transform on surfaces. Comput. Aided Geom. Design 43, 95–108 (2016)
Gao, Y., Li, C.-F., Ren, B., Hu, S.-M.: View-dependent multiscale fluid simulation. IEEE Trans. Visual Comput. Graphics 19(2), 178–188 (2013)
Ren, B., Li, C.-F., Lin, M.C., Kim, T., Hu, S.-M.: Flow field modulation. IEEE Trans. Visual Comput. Graphics 19(10), 1708–1719 (2013)
Benedens, O.: Two high capacity methods for embedding public watermarks into 3d polygonal models, in: Proceedings of the Multimedia and Security-Workshop at ACM Multimedia, Vol. 99, Orlando, Forida, pp. 95–99 (1999)
Wang, Y.-P., Hu, S.-M.: A new watermarking method for 3d models based on integral invariants. IEEE Trans. Visual Comput. Graphics 15(2), 285–294 (2009)
Cho, J.-W., Prost, R., Jung, H.-Y.: An oblivious watermarking for 3-d polygonal meshes using distribution of vertex norms. IEEE Trans. Signal Process. 55(1), 142–155 (2006)
Sharma, N., Panda, J.: Statistical watermarking approach for 3d mesh using local curvature estimation. IET Inf. Secur. 14(6), 745–753 (2020)
Kashida, N., Hasegawa, K., Uto, T.: 3-d mesh watermarking based on optimized multiple histograms, in: 2020 35th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), IEEE, pp. 363–366 (2020)
Medimegh, N., Belaid, S., Atri, M., Werghi, N.: 3d mesh watermarking using salient points. Multimedia Tools Appl. 77(24), 32287–32309 (2018)
Medimegh, N., Belaid, S., Atri, M., Werghi, N.: Statistical 3d watermarking algorithm using non negative matrix factorization. Multimed. Tools and Appl. 79(35), 25889–25904 (2020)
Delmotte, A., Tanaka, K., Kubo, H., Funatomi, T., Mukaigawa, Y.: Blind 3d-printing watermarking using moment alignment and surface norm distribution. IEEE Trans. Multimedia 23, 3467–3482 (2021)
Liu, J., Wang, Y., Li, Y., Liu, R., Chen, J.: A robust and blind 3d watermarking algorithm using multiresolution adaptive parameterization of surface. Neurocomputing 237, 304–315 (2017)
Wang, Y., Liu, J., Yang, Y., Ma, D., Liu, R.: 3d model watermarking algorithm robust to geometric attacks. IET Image Proc. 11(10), 822–832 (2017)
Liu, J., Yang, Y., Ma, D., Wang, Y., Pan, Z.: A watermarking method for 3d models based on feature vertex localization. IEEE Access 6, 56122–56134 (2018)
Hou, J.-U., Kim, D.-G., Lee, H.-K.: Blind 3d mesh watermarking for 3d printed model by analyzing layering artifact. IEEE Trans. Inf. Forensics Secur. 12(11), 2712–2725 (2017)
Ohbuchi, R., Takahashi, S., Miyazawa, T., Mukaiyama, A.: Watermarking 3d polygonal meshes in the mesh spectral domain, in: Graphics interface, Vol. 2001, pp. 9–17 (2001)
Al-Saadi, H.S., Ghareeb, A., Elhadad, A., et al.: A blind watermarking model of the 3d object and the polygonal mesh objects for securing copyright. Comput. Intell. Neurosci. 2021, 11 (2021)
Abulkasim, H., Jamjoom, M., Abbas, S.: Securing copyright using 3d objects blind watermarking scheme. CMC-Comput. Mater. Continua 72(3), 5969–5983 (2022)
Kanai, S., Date, H., Kishinami, T., et al.: Digital watermarking for 3d polygons using multiresolution wavelet decomposition, in: Proc. Sixth IFIP WG, Vol. 5, pp. 296–307 (1998)
Wang, K., Lavou, G., Denis, F., Baskurt, A.: Hierarchical blind watermarking of 3d triangular meshes, in: 2007 IEEE International Conference on Multimedia and Expo, IEEE, pp. 1235–1238 (2007)
Sayahi, I., Jallouli, M., Mabrouk, A.B., Mahjoub, M.A., Amar, C.B.: Robust hybrid watermarking approach for 3d multiresolution meshes based on spherical harmonics and wavelet transform. Multimedia Tools Appl. (2023). https://doi.org/10.1007/s11042-023-14722-5
Bi, N., Sun, Q., Huang, D., Yang, Z., Huang, J.: Robust image watermarking based on multiband wavelets and empirical mode decomposition. IEEE Trans. Image Process. 16(8), 1956–1966 (2007)
Abbas, N.H., Ahmad, S.M.S., Parveen, S., Wan, W.A., Ramli, A.R.B.: Design of high performance copyright protection watermarking based on lifting wavelet transform and bi empirical mode decomposition. Multimedia Tools Appl. 77(19), 24593–24614 (2018)
Zhang, J., Pan, G., Jiang, C., Zhou, X.: A locatable zero watermarking scheme and visualization for 3d mesh models, in: 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization, IEEE, pp. 510–515 (2009)
Cai, S., Shen, X.: Octree-based robust watermarking for 3d model. J. Multimed. 6(1), 83–90 (2011)
Cui, C., Ni, R., Zhao, Y.: Robust zero watermarking for 3d triangular mesh models based on spherical integral invariants, in: Digital Forensics and Watermarking: 16th International Workshop, IWDW 2017, Magdeburg, Germany, August 23-25, 2017, Proceedings 16, Springer, pp. 318–330 (2017)
Wang, X., Zhan, Y.: A zero-watermarking scheme for three-dimensional mesh models based on multi-features. Multimedia Tools Appl. 78(19), 27001–27028 (2019)
Lee, J.-S., Liu, C., Chen, Y.-C., Hung, W.-C., Li, B.: Robust 3d mesh zero-watermarking based on spherical coordinate and skewness measurement. Multimedia Tools Appl. 80(17), 25757–25772 (2021)
Liu, G., Wang, Q., Wu, L., Pan, R., Wan, B., Tian, Y.: Zero-watermarking method for resisting rotation attacks in 3d models. Neurocomputing 421, 39–50 (2021)
Lee, J.-S., Chen, Y.-C., Chew, C.-J., Hung, W.-C., Fan, Y.-Y., Li, B.: Constructing gene features for robust 3d mesh zero-watermarking. J. Inform. Secur. Appl. 73, 103414 (2023)
Abbas, N.A.: Image encryption based on independent component analysis and Arnold’s cat map. Egypt. Inform. J. 17(1), 139–146 (2016)
Hilbert, D., Hilbert, D.: Über die stetige abbildung einer linie auf ein flächenstück, Dritter Band: Analysis. Grundlagen der Mathematik. Physik Verschiedenes: Nebst Einer Lebensgeschichte 1–2 (1935)
Wang, K., Lavoué, G., Denis, F., Baskurt, A., He, X.: A benchmark for 3d mesh watermarking, in: Shape Modeling International Conference IEEE, 2010, 231–235 (2010)
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This work was supported by the Natural Science Foundation of Jilin Province, China (No. 20210101472JC).
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Hu, J., Dai, M., Wang, X. et al. Robust 3D watermarking with high imperceptibility based on EMD on surfaces. Vis Comput 40, 7685–7700 (2024). https://doi.org/10.1007/s00371-023-03201-5
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DOI: https://doi.org/10.1007/s00371-023-03201-5