Journal
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
Volume 69, Issue 1, Pages 389-399Publisher
ELSEVIER GMBH
DOI: 10.1016/j.aeue.2014.10.012
Keywords
Image watermarking; Geometrical transformations; Radial harmonic Fourier moments; Moment magnitude distribution; Adaptive quantization
Funding
- National Natural Science Foundation of China [61472171, 61272416]
- Open Project Program of Jiangsu Key Laboratory of Image and Video Understanding for Social Safety (Nanjing University of Science and Technology) [30920130122006]
- Open Foundation of Zhejiang Key Laboratory for Signal Processing [ZJKL_4_SP-OP2013-01]
- Open Foundation of Provincial Key Laboratory for Computer Information Processing Technology (Soochow University) [KJS1325]
- Open Project Program of the State Key Lab of CAD&CG, Zhejiang University [A1425]
- Liaoning Research Project for Institutions of Higher Education of China [L2013407]
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It is still a challenging work to design a robust image watermarking scheme to resist geometrical transformations. In this paper, we analyze the geometric invariant properties of radial harmonic Fourier moments (RHFMs), and propose a new geometrically resilient digital image watermarking scheme based on RHFMs magnitudes. Firstly, the binary watermark image is encrypted by Arnold transform, and the RHFMs of the host image are computed. Then, the accurate and robust RHFMs are selected according to the moment magnitude distribution. Finally, the encrypted watermark is embedded by quantizing the magnitudes of the selected RHFMs, and the watermarked image is obtained by adding the compensation image to the original host image. Experimental results show that the proposed RHFMs based image watermarking scheme outperforms other moments based watermarking methods, and is robust to a wide range of attacks, e.g., median filtering, random noise addition, JPEG compression, rotation, and scaling, etc. (C) 2014 Elsevier GmbH. All rights reserved.
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