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http://dx.doi.org/10.9708/jksci.2013.18.4.035

Color-Texture Image Watermarking Algorithm Based on Texture Analysis  

Kang, Myeongsu (School of Electrical Engineering, University of Ulsan)
Nguyen, Truc Kim Thi (School of Electrical Engineering, University of Ulsan)
Nguyen, Dinh Van (School of Electrical Engineering, University of Ulsan)
Kim, Cheol-Hong (School of Electronic and Computer Engineering, Chonnam National University)
Kim, Jong-Myon (School of Electrical Engineering, University of Ulsan)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.4, 2013 , pp. 35-43 More about this Journal
Abstract
As texture images have become prevalent throughout a variety of industrial applications, copyright protection of these images has become important issues. For this reason, this paper proposes a color-texture image watermarking algorithm utilizing texture properties inherent in the image. The proposed algorithm selects suitable blocks to embed a watermark using the energy and homogeneity properties of the grey level co-occurrence matrices as inputs for the fuzzy c-means clustering algorithm. To embed the watermark, we first perform a discrete wavelet transform (DWT) on the selected blocks and choose one of DWT subbands. Then, we embed the watermark into discrete cosine transformed blocks with a gain factor. In this study, we also explore the effects of the DWT subbands and gain factors with respect to the imperceptibility and robustness against various watermarking attacks. Experimental results show that the proposed algorithm achieves higher peak signal-to-noise ratio values (47.66 dB to 48.04 dB) and lower M-SVD values (8.84 to 15.6) when we embedded a watermark into the HH band with a gain factor of 42, which means the proposed algorithm is good enough in terms of imperceptibility. In addition, the proposed algorithm guarantees robustness against various image processing attacks, such as noise addition, filtering, cropping, and JPEG compression yielding higher normalized correlation values (0.7193 to 1).
Keywords
Texture image watermarking; Grey level co-occurrence matrices; Fuzzy c-means clustering; Discrete wavelet transform; Discrete cosine transform;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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