Achieving image watermarking robustness by geometric rectification

Frank Y. Shih, Xin Zhong

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Image watermarking techniques have been widely used for copyright protection, broadcast monitoring, and data authentication. In this paper, we present a novel watermarking scheme which allows automatic selection of multiple regions-of-interest (ROIs) with robustness against geometric distortion. The fidelity of watermarked images is ensured by preserving salient foreground objects. The proposed scheme achieves watermarking robustness by geometric rectification, which is based on matching feature points between the salient foreground objects of a host image and its distorted stego-image. Experimental results show that the proposed technique can successfully obtain high fidelity and high robustness on an image dataset of multiple salient foreground objects.

Original languageEnglish (US)
Article number1754007
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Issue number4
StatePublished - Apr 1 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


  • DWT
  • Image watermarking
  • LSB
  • ROI
  • SURF
  • geometric rectification


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