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Spherical Panorama Image Watermarking Using Viewpoint Detection

  • Jihyeon KangEmail author
  • Sang-Keun Ji
  • Heung-Kyu Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11378)

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.

Keywords

Image watermarking Spherical panorama Omni-directional image 360 VR watermarking 

Notes

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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Graduate School of Information Security, School of ComputingKorea Advanced Institute of Science and TechnologyDaejeonSouth Korea
  2. 2.School of ComputingKorea Advanced Institute of Science and TechnologyDaejeonSouth Korea

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