Spherical Panorama Image Watermarking Using Viewpoint Detection

EasyChair Preprint 589

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 Euclidean transformation matrix are used to find viewpoint information of a detection target viewimage. 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.

Keyphrases: 360 VR watermarking, Image watermarking, Omni-directional image, equirectangular formed image, equirectangular image, spherical panorama

@booklet{EasyChair:589,
  author    = {Jihyeon Kang and Sangkeun Ji and Heungkyu Lee},
  title     = {Spherical Panorama Image Watermarking Using Viewpoint Detection},
  doi       = {10.29007/x163},
  howpublished = {EasyChair Preprint 589},
  year      = {EasyChair, 2018}}