Abstract
With the huge advance in Internet technology as well as the availability of low-cost 3D display devices, 3D image transmission has become popular in recent times. Since watermarking has become regarded as a potential Digital Rights Management (DRM) tools in the past decade, 3D image watermarking is an emerging research topic. With the introduction of the Depth Image-Based Rendering (DIBR) technique, 3D image watermarking is a more challenging task, especially for synthetic view generation. In this article, synthetic view generation is regarded as a potential attack, and a blind watermarking scheme is proposed that can resist it. In the proposed scheme, the watermark is embedded into the low-pass filtered dependent view region of 3D images. Block Discrete Cosine Transformation (DCT) is used for spatial-filtration of the dependent view region to find the DC coefficient with horizontally shifted coherent regions from the left and right view to make the scheme robust against synthesis view attack. A comprehensive set of experiments have been carried out to justify the robustness of the proposed scheme over related existing schemes with respect to Stereo JPEG compression and different noise addition attacks.
- K. A. Arun and P. J. Poul. 2013. Protection of depth-image-based rendering 3d images using blind watermarking. In Proceedings of the 4th International Conference on Computing, Communications and Networking Technologies (ICCCNT 2013). 1--6. DOI:http://dx.doi.org/10.1109/ICCCNT.2013.6726473Google Scholar
- M. Asikuzzaman, M. J. Alam, A. J. Lambert, and M. R. Pickering. 2014. A blind watermarking scheme for depth-image-based rendered 3d video using the dual-tree complex wavelet transform. In Proceedings of the 2014 IEEE International Conference on Image Processing (ICIP 2014). 5497--5501. DOI:http://dx.doi.org/10.1109/ICIP.2014.7026112Google ScholarCross Ref
- W. Bender, D. Gruhl, N. Morimoto, and A. Lu. 1996. Techniques for data hiding. IBM Systems Journal 35, 3.4 (1996), 313--336. DOI:http://dx.doi.org/10.1147/sj.353.0313 Google ScholarDigital Library
- Patrizio Campisi. 2008. Object-oriented stereo-image digital watermarking. Journal of Electronic Imaging 17, 4 (2008), 043024-043024-5. DOI:http://dx.doi.org/10.1117/1.3009554Google ScholarCross Ref
- Ying Chen, Gerhard Tech, Krzysztof Wegner, and Sehoon Yea. 2014. Test Model 8 of 3D-HEVC and MV-HEVC (jct3v-h1003 ed.). Joint Collaborative Team on 3D Video Coding Extension Development of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11.Google Scholar
- Yu-Cheng Fan and Tsung-Chen Chi. 2008. The novel non-hole-filling approach of depth image based rendering. In Proceedings of the 2008 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video. 325--328. DOI:http://dx.doi.org/10.1109/3DTV.2008.4547874Google ScholarCross Ref
- Christoph Fehn. 2004. Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV. (2004). DOI:http://dx.doi.org/10.1117/12.524762Google Scholar
- C. Fehn and R. S. Pastoor. 2006. Interactive 3-DTV-concepts and key technologies. Proceedings of the IEEE 94, 3 (March 2006), 524--538. DOI:http://dx.doi.org/10.1109/JPROC.2006.870688Google ScholarCross Ref
- J. Franco-Contreras, S. Baudry, and G. Doerr. 2011. Virtual view invariant domain for 3d video blind watermarking. In Proceedins of the 18th IEEE International Conference on Image Processing (ICIP 2011). 2761--2764. DOI:http://dx.doi.org/10.1109/ICIP.2011.6116242Google ScholarCross Ref
- Yonggang Fu. 2009. Robust image watermarking scheme based on 3d-DCT. In Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’09). Vol. 5. 437--441. DOI:http://dx.doi.org/10.1109/FSKD.2009.19 Google ScholarDigital Library
- Yang Guan, Yuesheng Zhu, Xiyao Liu, Guibo Luo, Ziqiang Sun, and Liming Zhang. 2014. A digital blind watermarking scheme based on quantization index modulation in depth map for 3d video. In Proceedings of the 13th International Conference on Control Automation Robotics Vision (ICARCV 2014). 346--351. DOI:http://dx.doi.org/10.1109/ICARCV.2014.7064330Google ScholarCross Ref
- E. Halici and A. A. Alatan. 2009. Watermarking for depth-image-based rendering. In Proceedings of the 16th IEEE International Conference on Image Processing (ICIP 2009). 4217--4220. DOI:http://dx.doi.org/10.1109/ICIP.2009.5413525 Google ScholarDigital Library
- Youngmo Han. 2005. Geometric algorithms for least squares estimation of 3-d information from monocular image. IEEE Transactions on Circuits and Systems for Video Technology 15, 2 (Feb 2005), 269--282. DOI:http://dx.doi.org/10.1109/TCSVT.2004.841541 Google ScholarDigital Library
- David M. Hoffman, Ahna R. Girshick, Kurt Akeley, and Martin S. Banks. 2008. Vergence--accommodation conflicts hinder visual performance and cause visual fatigue. Journal of Vision 8, 3 (2008), 33.Google ScholarCross Ref
- S. J. Jaipuria. 2014. Watermarking for depth map based 3d images using wavelet transform. In Proceedings of the 2014 International Conference on Communications and Signal Processing (ICCSP). 181--185. DOI:http://dx.doi.org/10.1109/ICCSP.2014.6949824Google ScholarCross Ref
- Maher Jridi, Yousri Ouerhani, and Ayman Alfalou. 2013. Low complexity DCT engine for image and video compression. (2013). DOI:http://dx.doi.org/10.1117/12.2006174Google Scholar
- P. Kauff, N. Atzpadin, C. Fehn, M. Mller, O. Schreer, A. Smolic, and R. Tanger. 2007. Depth map creation and image-based rendering for advanced 3DTV services providing interoperability and scalability. Signal Processing: Image Communication 22, 2 (2007), 217--234. DOI:http://dx.doi.org/10.1016/j.image.2006.11.013 Special issue on three-dimensional video and television. Google ScholarDigital Library
- Hee-Dong Kim, Ji-Won Lee, Tae-Woo Oh, and Heung-Kyu Lee. 2012. Robust DT-CWT watermarking for DIBR 3d images. IEEE Transactions on Broadcasting 58, 4 (Dec 2012), 533--543. DOI:http://dx.doi.org/10.1109/TBC.2012.2206851Google ScholarCross Ref
- Yu-Hsun Lin and Ja-Ling Wu. 2011. A digital blind watermarking for depth-image-based rendering 3d images. IEEE Transactions on Broadcasting 57, 2 (June 2011), 602--611. DOI:http://dx.doi.org/10.1109/TBC.2011.2131470Google ScholarCross Ref
- B. O. Ozkalayci and A. A. Alatan. 2014. 3D planar representation of stereo depth images for 3DTV applications. IEEE Transactions on Image Processing 23, 12 (Dec 2014), 5222--5232. DOI:http://dx.doi.org/10.1109/TIP.2014.2360452Google ScholarCross Ref
- Shuvendu Rana and Arijit Sur. 2014. Blind 3d video watermarking based on 3D-HEVC encoder using depth. In Proceedings of the 9th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP’14). ACM, New York, Article 195, 6 pages. DOI:http://dx.doi.org/10.1145/2683483.2683535 Google ScholarDigital Library
- Shuvendu Rana and Arijit Sur. 2015. 3D video watermarking using DT-DWT to resist synthesis view attack. In Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015). Nice, France.Google ScholarCross Ref
- D. Scharstein and Chris Pal. 2007. Learning conditional random fields for stereo. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’07). 1--8. DOI:http://dx.doi.org/10.1109/CVPR.2007.383191Google ScholarCross Ref
- Fan Sheng-li, Yu Mei, Jiang Gang-yi, Shao Feng, and Peng Zong-ju. 2012. A digital watermarking algorithm based on region of interest for 3d image. (Nov 2012), 549--552. DOI:http://dx.doi.org/10.1109/CIS.2012.129 Google ScholarDigital Library
- D. Trick, W. Berchtold, M. Schafer, and M. Steinebach. 2013. 3D watermarking in the context of video games. In Proceedings of the IEEE 15th International Workshop on Multimedia Signal Processing (MMSP 2013). 418--423. DOI:http://dx.doi.org/10.1109/MMSP.2013.6659325Google ScholarCross Ref
- P. Vinod and P. K. Bora. 2006. Motion-compensated inter-frame collusion attack on video watermarking and a countermeasure. IEEE Proceedings on Information Security 153, 2 (June 2006), 61--73.Google ScholarCross Ref
- L. Zhang and Wa James Tam. 2005. Stereoscopic image generation based on depth images for 3d TV. IEEE Transactions on Broadcasting 51, 2 (June 2005), 191--199. DOI:http://dx.doi.org/10.1109/TBC.2005.846190Google ScholarCross Ref
Index Terms
- Depth-Based View-Invariant Blind 3D Image Watermarking
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