Abstract
Most of the existing color image watermarking schemes use binary or grayscale image as watermark, and many of them belong to non-blind watermarking methods. In this paper, an improved color image watermarking algorithm based on QR decomposition is proposed to embed color watermark image into color host image. For embedding watermark, the 24-bits color host image is divided into non-overlapping 3 × 3 pixel blocks and each pixel block is decomposed by QR decomposition, and the 24-bits color watermark image is embedded into the color host image by modifying the relation between the second row first column coefficient and the third row first column coefficient of the orthogonal matrix Q. For extracting watermark, only the watermarked image is needed. Experimental results show that the proposed color image scheme not only has better watermark performance such as invisibility, robustness, security, capacity, and computation complexity, but also overcomes the false-positive detection problem.
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References
An L, Gao X, Li X, Tao D, Deng C, Li J (2012) Robust reversible watermarking via clustering and enhanced pixel-wise masking. IEEE Trans Image Process 21(8):3598–3611
Chen B, Coatrieux G, Chen G, Sun X, Coatrieux JL, Shu H (2014) Full 4-D quaternion discrete Fourier transform based watermarking for color images. Digital Signal Process 28(5):106–119
Chen W, Quan C, Tay CJ (2009) Optical color image encryption based on Arnold transform and interference method. Opt Commun 282(18):3680–3685
Chou CH, Wu TL (2003) Embedding color watermarks in color images. EURASIP J Appl Signal Process 32–40
De Moor B, Van Dooren P (1992) Generalizations of the singular value and QR decompositions. SIAM J Matrix Anal Appl 13(4):993–1014
Golea NEH, Seghir R, Benzid R (2010) A bind RGB color image watermarking based on singular value decomposition. IEEE/ACS Int Conf Comput Syst Appl 1–5
Kuribayashi M (2014) Simplified MAP detector for binary fingerprinting code embedded by spread spectrum watermarking scheme. IEEE Trans Inf Forensic Secur 9(4):610–623
Li XW, Kim ST (2014) An improved cellular automata-based digital image watermarking scheme combining the use of pixel-wise masking and 3D integral imaging. Opt Commun 319(5):45–55
Mao L, Fan YY, Wang HQ, Lv GY (2011) Fractal and neural networks based watermark identification. Multimed Tools Appl 52(1):201–219
Rawat S, Raman B (2010) A new robust watermarking scheme for color images. IEEE 2nd Int Adv Comput Conf 206–209
Song W, Hou JJ, Li ZH, Huang L (2011) Chaotic system and QR factorization based robust digital image watermarking algorithm. J Cent South Univ Technol 18(1):116–124
Su Q, Niu Y, Liu X, Zhu Y (2012) Embedding color watermarks in color images based on Schur decomposition. Opt Commun 285(7):1792–1802
Su Q, Niu Y, Wang G, Jia S, Yue J (2014) Color image blind watermarking scheme based on QR decomposition. Signal Process 94(1):219–235
Su Q, Niu Y, Zou H, Zhao Y, Yao T (2014) A blind double color image watermarking algorithm based on QR decomposition. Multimed Tools Appl 72(1):987–1009
University of Granada. Computer Vision Group. CVG-UGR Image Database. [2012-10-22]. http://decsai.ugr.es/cvg/dbimagenes/c512.php
Urvoy M, Goudia D, Autrusseau F (2014) Perceptual DFT watermarking with improved detection and robustness to geometrical distortions. IEEE Trans Inf Forensic Secur 9(7):1108–1119
Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612
Wang X, Wang C, Yang H et al (2013) A robust blind color image watermarking in quaternion Fourier transform domain. J Syst Softw 86(2):255–277
Yashar N, Saied HK (2014) Fast and robust watermarking in still images based on QR decomposition. Multimed Tools Appl 72:2597–2618
Yin CQ, Li L, Lv AQ, Qu L (2007) Color image watermarking algorithm based on DWT-SVD. IEEE Int Conf Autom Log 2607–2611
Acknowledgments
The research was partially supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Natural Science Foundation of Shandong Province (ZR2014FM005, ZR2013FL008), Shandong Province Higher Educational Science and Technology Program (J14N20), Doctoral Foundation of Ludong University (LY2014034), Shandong Province Science and Technology Plan Projects (2014GGB01944) and Shandong Province Important Research Plan Projects (2015GSF116001). The authors would like to thank anonymous referees for their valuable comments and suggestions which lead to substantial improvements of this paper.
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Su, Q., Wang, G., Zhang, X. et al. An improved color image watermarking algorithm based on QR decomposition. Multimed Tools Appl 76, 707–729 (2017). https://doi.org/10.1007/s11042-015-3071-x
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DOI: https://doi.org/10.1007/s11042-015-3071-x