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Spherical Panorama Image Watermarking Using Viewpoint Detection

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Digital Forensics and Watermarking (IWDW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11378))

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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

  1. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004)

    Article  MathSciNet  Google Scholar 

  2. Barni, M., et al.: A DCT-domain system for robust image watermarking. Signal process. 66(3), 357–372 (1998)

    Article  Google Scholar 

  3. Pereira, S., Pun, T.: Robust template matching for affine resistant image watermarks. IEEE Trans. Image Process. 9(6), 1123–1129 (2000)

    Article  Google Scholar 

  4. 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)

    Google Scholar 

  5. 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)

    Article  MathSciNet  Google Scholar 

  6. Cox, I.J., et al.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process. 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  7. 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)

    Article  MathSciNet  Google Scholar 

  8. Lee, H.-Y., Kim, H., Lee, H.-K.: Robust image watermarking using local invariant features. Opt. Eng. 45(3), 037002 (2006)

    Article  Google Scholar 

  9. Chang, C.-C., Tsai, P., Lin, C.-C.: SVD-based digital image watermarking scheme. Pattern Recogn. Lett. 26(10), 1577–1586 (2005)

    Article  Google Scholar 

  10. 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)

    Google Scholar 

  11. 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

    Chapter  Google Scholar 

  12. Lu, W., Hongtao, L., Chung, F.-L.: Feature based watermarking using watermark template match. Appl. Math. Comput. 177(1), 377–386 (2006)

    MathSciNet  MATH  Google Scholar 

  13. 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)

    Article  Google Scholar 

  14. Wang, S., Cui, C., Niu, X.: Watermarking for DIBR 3D images based on SIFT feature points. Measurement 48, 54–62 (2014)

    Article  Google Scholar 

  15. Kim, H.-D., et al.: Robust DT-CWT watermarking for DIBR 3D images. IEEE Trans. Broadcast. 58(4), 533–543 (2012)

    Article  Google Scholar 

  16. Equirectangular flickr group. https://www.flickr.com/groups/equirectangular. Accessed 6 July 2018

  17. Mun, S.-M., et al.: A robust blind watermarking using convolutional neural network. arXiv preprint arXiv:1704.03248 (2017)

  18. Kim, W.-H., et al.: Convolutional neural network architecture for recovering watermark synchronization. arXiv preprint arXiv:1805.06199 (2018)

  19. 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)

    Google Scholar 

  20. 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)

    Google Scholar 

Download references

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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Correspondence to Jihyeon Kang .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11388-9

  • Online ISBN: 978-3-030-11389-6

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