Volume 8 Number 11 (Nov. 2013)
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JCP 2013 Vol.8(11): 2844-2850 ISSN: 1796-203X
doi: 10.4304/jcp.8.11.2844-2850

Robust Watermarking Scheme for Multispectral Images Using Discrete Wavelet Transform and Tucker Decomposition

Hai Fang1, Quan Zhou1 and Kaijia Li2
1 National Key Laboratory of Space Microwave Technology, China Academy of Space Technology, Xi’an, China
2 Kunming University, Kunming, China; Information Security Center, Beijing University of Posts and Telecommunication, Beijing, China


Abstract—Watermarking represents a potentially effective tool for the protection and verification of ownership rights in remote sensing images. Multispectral images (MSIs) are the main type of images acquired by remote sensing radiometers. In this paper, a robust multispectral image watermarking technique based on the discrete wavelet transform (DWT) and the tucker decomposition (TD) is proposed. The core idea behind our proposed technique is to apply TD on the DWT coefficients of spectral bands of multispectral images. We use DWT to effectively separate multispectral images into different sub-images and TD to efficiently compact the energy of sub-images. Then watermark is embedded in the elements of the last frontal slices of the core tensor with the smallest absolute value. The core tensor has a good stability and represents the multispectral image properties. The experimental results on LANDSAT images show the proposed approach is robust against various types of attacks such as lossy compression, cropping, addition of noise etc.

Index Terms—multispectral images, watermarking, discrete wavelet transform, tucker decomposition

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Cite: Hai Fang, Quan Zhou and Kaijia Li, " Robust Watermarking Scheme for Multispectral Images Using Discrete Wavelet Transform and Tucker Decomposition," Journal of Computers vol. 8, no. 11, pp. 2844-2850, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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