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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 17, Iss. 24 — Nov. 23, 2009
  • pp: 21819–21819

Geometrically robust image watermarking by sector-shaped partitioning of geometric-invariant regions

Huawei Tian, Yao Zhao, Rongrong Ni, and Gang Cao  »View Author Affiliations


Optics Express, Vol. 17, Issue 24, pp. 21819-21819 (2009)
http://dx.doi.org/10.1364/OE.17.021819


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Abstract

In a feature-based geometrically robust watermarking system, it is a challenging task to detect geometric-invariant regions (GIRs) which can survive a broad range of image processing operations. Instead of commonly used Harris detector or Mexican hat wavelet method, a more robust corner detector named multi-scale curvature product (MSCP) is adopted to extract salient features in this paper. Based on such features, disk-like GIRs are found, which consists of three steps. First, robust edge contours are extracted. Then, MSCP is utilized to detect the centers for GIRs. Third, the characteristic scale selection is performed to calculate the radius of each GIR. A novel sector-shaped partitioning method for the GIRs is designed, which can divide a GIR into several sector discs with the help of the most important corner (MIC). The watermark message is then embedded bit by bit in each sector by using Quantization Index Modulation (QIM). The GIRs and the divided sector discs are invariant to geometric transforms, so the watermarking method inherently has high robustness against geometric attacks. Experimental results show that the scheme has a better robustness against various image processing operations including common processing attacks, affine transforms, cropping, and random bending attack (RBA) than the previous approaches.

© 2009 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing
(100.5760) Image processing : Rotation-invariant pattern recognition

ToC Category:
Image Processing

History
Original Manuscript: August 17, 2009
Revised Manuscript: November 2, 2009
Manuscript Accepted: November 3, 2009
Published: November 13, 2009

Citation
Huawei Tian, Yao Zhao, Rongrong Ni, and Gang Cao, "Geometrically robust image watermarking by sector-shaped partitioning of geometric-invariant regions," Opt. Express 17, 21819-21819 (2009)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-17-24-21819


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