A Robust Digital Watermarking Based on Local Complex Angular Radial Transform

• Autorzy: Niu P.-P. , Wang X.-Y. , Yang H.-Y. , Wang P. , Wang A.-L.

Identyfikatory

DOI

10.3233/FI-2014-1121

• Języki publikacji: EN

Abstrakty

EN

Geometric distortions that cause displacement between embedding and detection are usually difficult for watermark to survive. It is a challenging work to design a robust image watermarking scheme against geometric distortions, especially for local geometric distortions. Based on probability density and complex angular radial transform theory, a new image watermarking algorithm robust to geometric distortions is proposed in this paper. We firstly extract the steady image feature points by using new image feature point detector, which is based on the probability density. Then we build the affine invariant local feature regions based on probability density auto-correlation matrix. And finally, we present a new image watermarking algorithm robust to geometric distortions, in which the digital watermark is embedded into the local complex angular radial transform (CART) coefficients. Experiments results show that the proposed image watermarking is not only invisible and robust against common image processing operations, but also robust against the geometric distortions.

Słowa kluczowe

EN

image watermarking; geometric distortions; probability density; complex angular radial transform

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2014
• Tom: Vol. 135, nr 3
• Strony: 243--268
• Opis fizyczny: Bibliogr. 35 poz., fot., wykr.

Twórcy

autor

Niu P.-P.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China

autor

Wang X.-Y.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China

autor

Yang H.-Y.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China

autor

Wang P.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China

autor

Wang A.-L.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China

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