Abstract
Depth-image-based rendering (DIBR) has become an accessible rendering technology for 3D video. A variety of digital watermarking methods have been proposed to protect the copyright of DIBR 3D video works. However, the robustness and imperceptibility of the existing methods need to be improved. Therefore, we apply the DIBR rendering features to propose a watermarking method to enhance the watermarking effect. First, to improve the robustness, we combine the DIBR rendering rules to construct steady feature data as the selection criterion of watermark embedding position. We detect the scale invariable feature transformation (SIFT) feature points from centre views and match them in every two adjacent views. Each two matched feature points construct one matching vector. The gradient-probability distributions of the vectors are used as the feature data to determine the watermark embedding position. Thus, the embedding positions are robust to the affine transformation and geometric attacks, and the watermark robustness improved. Second, to improve the imperceptibility, we design a joint watermark extraction strategy based on the similarity of the rendered left and right images. The watermark data are embedded into the centre view with low embedding strength and jointly extracted from the left and right images. This strategy guarantees the extraction accuracy while reducing the impact of watermark embedding on the original centre view. Experimental data show that the proposed method has good robustness and imperceptibility.
Similar content being viewed by others
References
Al-Haj A, Farfoura ME, Mohammad A (2017) Transform-based watermarking of 3D depth-image-based-rendering images. Measurement 95:405–417
Alrehily A, Thayananthan V (2018) Computer security and software watermarking based on return-oriented programming. Int J Comput Network Inform Secur 10(5):28–36
Arun KA, Poul PJ (2013) Protection of depth-image-based rendering 3D images using blind watermarking. International Conference on Computing, Communications and Networking Technologies, 1–6
Asikuzzaman M, Alam MJ, Lambert AJ, Pickering MR (2014) A blind watermarking scheme for depth-image-based rendered 3D Video using the dual-tree complex wavelet transform. IEEE Int Conf Image Process 10:5497–5501
Asikuzzaman M, Alam MJ, Lambert AJ, Pickering MR (2016) Robust DT CWT-based DIBR 3D Video watermarking using chrominance embedding. IEEE Trans Multimed 18(9):1733–1748
Bashir T, Usman I, Rehman J (2016) Secure digital watermarking using optimized improved spread spectrum and BCH coding for DIBR 3D-TV system. Multimed Tools Applic 75(13):7697–7713
Bashir T, Usman I, Albesher AA, Atawneh SH, Naqvi SS (2020) A DCT domain smart vicinity reliant fragile watermarking technique for DIBR 3D-TV. Automatika 61(1):58–65
Bennour J, Dugelay J (2006) Protection of 3D object through silhouette watermarking. IEEE Int Conf Acoust Speech Signal Process 2:221–224
Bors AG (2006) Watermarking mesh-based representations of 3-D objects using local moments. IEEE Trans Image Process 15(3):687–701
Burini C, Baudry S, Doërr G (2014) Blind detection for disparitycoherent stereo Video watermarking. Proc. SPIE 9028:90280B-90280B-11
Cedillo-Hernandez A, Cedillo-Hernandez M, Garcia-Vazquez M, Nakano-Miyatake M, Perez-Meana H (2014) Ramirez-Acosta Transcoding resilient Video watermarking scheme based on spatio-temporal HVS and DCT. Signal Process 97:40–54
Chammem A, Mitrea M, Prêteux F (2011) DWT-based stereoscopic image watermarking. Proc SPIE Stereoscopic Displays Appl XXII 7863 (4):786326–786326-10
Cui C, Wang S, Niu X (2017) A novel watermarking for DIBR 3D images with geometric rectification based on feature points. Multimed Tools Applic 76 (1):649–77
Fehn C (2004) Depth-image-based rendering (DIBR), compression and transmission for a new approach on 3D-TV. Proc SPIE-Int Soc Opt Eng 5291:93–104
Franco-Contreras J, Baudry S, Doërr G (2011) Virtual view invariant domain for 3D Video blind watermarking. International Conference on Image Processing, 2761–2764
Garcia E, Dugelay J (2003) Texture-based watermarking of 3D Video objects. IEEE Trans Circ Syst Video Technol 13(8):853–866
Halici E, Alatan AA (2009) Watermarking for depth-image-based rendering. IEEE International Conference on Image Processing, 4217–4220
Hefeeda M, ElGamal T, Calagari K, Abdelsadek A (2015) Cloudbased multimedia content protection system. IEEE Trans Multimed 17(3):420–433
Kim H, Lee J, Oh T, Lee H (2012) Robust DT-CWT watermarking for DIBR 3D images. IEEE Trans Broadcast 58(4):533–543
Kim H, Lee J, Ryu SJ, Choi HY, Lee H (2013) DIBR 3D Video watermarking with faster DT-CWT quantization. IASTED Int Conf Signal Process Pattern Recogn Applic 2:222–226
Konstantinides JM, Mademlis A, Daras P, Mitkas PA, Strintzis MG (2009) Blind robust 3-D mesh watermarking based on oblate spheroidal harmonics. IEEE Trans Multimed 11(1):23–38
Koz A, Cigla C, Alatan AA (2010) Watermarking of free-view Video. IEEE Trans Image Process 19(7):1785–1797
Lee MJ, Lee J, Lee H (2011) Perceptual watermarking for 3D stereoscopic Video using depth information. Int Conf Intell Inform Hiding Multimed Signal Process 10:81–84
Lin Y, Wu J (2011) A digital blind watermarking for depth-image-based rendering 3D images. IEEE Trans Broadcast 57(2):602–611
Liu Y, Prabhakaran B, Guo X (2012) Spectral watermarking for parameterized surfaces. IEEE Trans Inform Forens Secur 7(5):1459–1471
Liu X, Li F, Du J, Guan Y, Zhu Y, Zou B (2017) A robust and synthesized-unseen watermarking for the DRM of DIBR-based 3D Video. Neurocomputing 222:155–69
Lowe DG (2003) Distinctive image features from scale-invariant key points. Int J Comput Vis 20:91– 110
Malvar HS, Florencio DAF (2003) Improved spread spectrum: a new modulation technique for robust watermarking. IEEE Trans Signal Process 51(4):898–905
Nam S-H, Kim W-H, Mun S-M, Hou J-U, Choi S, Lee H-K (2018) A SIFT features based blind watermarking for DIBR 3D images. Multimed Tools Applic 77(7):7811–50
Ohbuchi R, Masuda H, Aono M (1998) Watermarking threedimensional polygonal models through geometric and topological modifications. IEEE J Selected Areas Commun 16(4):551–560
Ou ZH, Chen LH (2015) A robust watermarking method for stereopair images based on unmatched block bitmap. Multimed Tools Applic 75(6):3259–3280
Pei SC, Wang YY (2015) Auxiliary metadata delivery in view synthesis using depth no synthesis error model. IEEE Trans Multimed 17(1):128–133
Pizzolante R, Castiglione A, Carpentieri B, De Santis A, Palmieri F, Castiglione A (2017) On the protection of consumer genomic data in the internet of living things. Comput Secur 74:384–400
Rana S, Sur A (2019) View invariant DIBR-3D image watermarking using DT-CWT. Multimed Tools Applic 78(12):16665–93
Sakr N, Georganas ND, Zhao J, Petriu EM (2010) Multimodal vision—haptic perception of digital watermarks embedded in 3-D meshes. IEEE Trans Instrum Meas 59(5):1047–1055
Singh Kh (2018) Manglem a robust rotation resilient video watermarking scheme based on the SIFT. Multimed Tools Applic 77(13):16419–44
Smolic A, Mueller K, Stefanoski N, Ostermann J, Gotchev A, Akar GB, Triantafyllidis G, Koz A (2007) Coding algorithms for 3DTV-a survey. IEEE Trans Circ Syst Video Technol 17(11):1606–1621
Tian H, Wang Z, Zhao Y, Ni R, Qin L (2012) Spread spectrum-based multi-bit watermarking for free-view Video. International Workshop Digital Forensics and Watermarking, 156–166
Wang S, Cui C, Niu X (2014) Watermarking for DIBR 3D images based on SIFT feature points. Measurement 48(0):54–62
Wang Y, Gong D, Lu B, Xiang F, Liu F (2018) Exception handling-based dynamic software watermarking. IEEE Access 6:8882–89
Yu Z, Ip HHS, Kwok LF (2003) A robust watermarking scheme for 3D triangular mesh models. Pattern Recogn 36(11):2603–2614
Zadokar SR, Raskar VB, Shinde SV (2013) A digital watermarking for anaglyph 3D images. International Conference on Advances in Computing, Communications and Informatics, 483–488
Zafeiriou S, Tefas A, Pitas I (2005) Blind robust watermarking schemes for copyright protection of 3D mesh objects. IEEE Trans Vis Comput Graph 11(5):596–607
Zhang L, Tam WJ (2005) Stereoscopic image generation based on depth images for 3D TV. IEEE Trans Broadcast 51(2):191–199
Acknowledgments
This work is supported by the National Natural Science Foundation of China (Grants No. 61971296, U19A2078), Sichuan Science and Technology Planning Project (Grants No. 2020YFG0319, 2020YFH0186).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Luo, Y., Peng, D. A robust digital watermarking method for depth-image-based rendering 3D video. Multimed Tools Appl 80, 14915–14939 (2021). https://doi.org/10.1007/s11042-020-10375-w
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-020-10375-w