Abstract
Even though interest in spherical panorama content has increased rapidly, few studies have examined watermarking techniques for this content. We present a new watermarking technique to protect spherical panorama images as well as view-images that are rendered with a specific viewpoint. Solving the watermark synchronization problem in the detection process requires finding the viewpoint of a view-image. Scale Invariant Feature Transform (SIFT) and Euclidea transformation matrix are used to find viewpoint information of a detection target view-image. Using the viewpoint information, a view-image can be recovered to a source image and then we can detect watermark from it. The experimental results show robustness against several attacks such as JPEG compression, Gaussian filter, and noise addition attack.
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References
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004)
Barni, M., et al.: A DCT-domain system for robust image watermarking. Signal process. 66(3), 357–372 (1998)
Pereira, S., Pun, T.: Robust template matching for affine resistant image watermarks. IEEE Trans. Image Process. 9(6), 1123–1129 (2000)
Xia, X.-G., Boncelet, C.G., Arce, G.R.: A multiresolution watermark for digital images. In: Proceedings of International Conference on Image Processing, vol. 1. IEEE (1997)
Akhaee, M.A., Sahraeian, S.M.E., Marvasti, F.: Contourlet-based image watermarking using optimum detector in a noisy environment. IEEE Trans. Image Process. 19(4), 967–980 (2010)
Cox, I.J., et al.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process. 6(12), 1673–1687 (1997)
Chen, B., Wornell, G.W.: Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Trans. Inf. Theory 47(4), 1423–1443 (2001)
Lee, H.-Y., Kim, H., Lee, H.-K.: Robust image watermarking using local invariant features. Opt. Eng. 45(3), 037002 (2006)
Chang, C.-C., Tsai, P., Lin, C.-C.: SVD-based digital image watermarking scheme. Pattern Recogn. Lett. 26(10), 1577–1586 (2005)
Chandra, D.V.S.: Digital image watermarking using singular value decomposition. In: The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002, vol. 3. IEEE (2002)
Ji, S.-K., Kang, J.-H., Lee, H.-K.: Perceptual watermarking for stereoscopic 3D image based on visual discomfort. In: Kim, K., Joukov, N. (eds.) ICISA 2017. LNEE, vol. 424, pp. 323–330. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-4154-9_38
Lu, W., Hongtao, L., Chung, F.-L.: Feature based watermarking using watermark template match. Appl. Math. Comput. 177(1), 377–386 (2006)
Lin, Y.-H., Ja-Ling, W.: A digital blind watermarking for depth-image-based rendering 3D images. IEEE Trans. Broadcast. 57(2), 602–611 (2011)
Wang, S., Cui, C., Niu, X.: Watermarking for DIBR 3D images based on SIFT feature points. Measurement 48, 54–62 (2014)
Kim, H.-D., et al.: Robust DT-CWT watermarking for DIBR 3D images. IEEE Trans. Broadcast. 58(4), 533–543 (2012)
Equirectangular flickr group. https://www.flickr.com/groups/equirectangular. Accessed 6 July 2018
Mun, S.-M., et al.: A robust blind watermarking using convolutional neural network. arXiv preprint arXiv:1704.03248 (2017)
Kim, W.-H., et al.: Convolutional neural network architecture for recovering watermark synchronization. arXiv preprint arXiv:1805.06199 (2018)
Kang, I.-S., Seo, Y.-H., Kim, D.-W.: Blind digital watermarking methods for omni-directional panorama images using feature points. Korean Inst. Broadcast Media Eng. 22(6), 785–799 (2017)
Miura, Y., et al.: Data hiding technique for omnidirectional JPEG images displayed on VR spaces. In: 2018 International Workshop on Advanced Image Technology (IWAIT). IEEE (2018)
Acknowledgements
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2016R1A2B2009595).
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Kang, J., Ji, SK., Lee, HK. (2019). Spherical Panorama Image Watermarking Using Viewpoint Detection. In: Yoo, C., Shi, YQ., Kim, H., Piva, A., Kim, G. (eds) Digital Forensics and Watermarking. IWDW 2018. Lecture Notes in Computer Science(), vol 11378. Springer, Cham. https://doi.org/10.1007/978-3-030-11389-6_8
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DOI: https://doi.org/10.1007/978-3-030-11389-6_8
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