Robust localized image watermarking based on invariant regions

  • Authors:

  • Yanwei Yu;Hefei Ling;Fuhao Zou;Zhengding Lu;Liyun Wang

  • Affiliations:

  • School of Software Engineering, University of Science and Technology of China, Hefei 230027, China and Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou 21 ...;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

  • Venue:
  • Digital Signal Processing
  • Year:
  • 2012

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Abstract

The robustness of the localized watermarking methods mainly depends on the robustness of the feature locating the watermark. Based on the mean luminance of the disk, a rotation and scale invariant feature extraction algorithm is proposed. A theoretical verification of the rotation and scale invariance of extracted feature points in the continuous image is further performed. The extracted feature points are used to construct rotation and scale invariant circular regions, where the watermark is embedded after affine normalization. Experimental results show that the constructed regions fit the watermarking applications much better than those in previous feature-based watermarking schemes from the aspect of robustness against common attacks including filtering, JPEG compression, cropping, rotation and scaling, and the proposed localized image watermarking scheme has better robustness than previous feature-based watermarking schemes against common signal process and geometrical attacks while maintaining imperceptibility.