Abstract
The last couple of decades have seen rapid growth of research interest in the field of reversible watermarking of multimedia data. The primary aim of reversible watermarking is to restore the original cover data content, with zero residual distortion, after watermark extraction. Such a feature is desirable in industries dealing with highly sensitive data, e.g. in military, medical and legal industries. In this paper we propose a reversible watermarking algorithm for grayscale images, based on fuzzy inference mechanism based pixel prediction method. We apply a thresholding technique on the prediction errors to embed the watermark bits. Our experimental results show that the quality of the watermarked cover data, produced by the proposed method, is considerably high compared to the other state–of–the–art schemes.
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References
Cox, I.J., Miller, M.L., Bloom, J.A., Fridrich, J., Kalker, T.: Digital Watermarking and Steganography. Morgan Kaufmann Publishers (2008)
Feng, J.B., Lin, I.C., Tsai, C.S., Chu, Y.P.: Reversible watermarking: current status and key issues. International Journal of Network Security 2(3), 161–171 (2006)
Tian, J.: Reversible data embedding using a difference expansion. IEEE Transactions on Circuits Systems and Video Technology 13(8), 890–896 (2003)
Luo, L., Chen, Z., Chen, M., Zeng, X., Xiong, Z.: Reversible image watermarking using interpolation technique. IEEE Transactions on Information Forensics and Security 5(1), 187–193 (2010)
Kim, K.S., Lee, M.J., Lee, H.Y., Lee, H.K.: Reversible data hiding exploiting spatial correlation between sub–sampled images. Pattern Recognition 42(11), 3083–3096 (2009)
Lin, C.C., Hsueh, N.L.: A lossless data hiding scheme based on three-pixel block differences. Pattern Recognition 41(4), 1415–1425 (2008)
Bezdek, J.C., Keller, J.M., Krishnapuram, R., Pal, N.R.: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Kluwer, Boston (1999)
Maity, S.P., Maity, S.: Multistage Spread Spectrum Watermark Detection Technique using Fuzzy Logic. IEEE Signal Processing Letters 16(4), 245–248 (2009)
Tamane, S.C., Manza, R.R., Deshmukh, R.R.: 3D Models Watermarking using Fuzzy Logic. In: IEEE 2009 International Conference on Advances in Computing, Control and Telecommunication Technologies, pp. 195–197 (December 2009)
Queslati, S., Cherif, A., Solaiman, B.: A Fuzzy Watermarking System using the Wavelet Technique for Medical Images. International Journal of Research and Reviews in Computing Engineering 1(1), 43–48 (2011)
Russo, F.: Recent advances in fuzzy techniques for image enhancement. IEEE Transactions on Instrumentation and Measurement 47(6), 1428–1434 (1998)
Russo, F.: Fire operators for image processing. Fuzzy Sets Syst. 103(2), 265–275 (1999)
Lee, C.S., Kuo, Y.H.: Adaptive Fuzzy Filter and Its Application to Image Enhancement. In: Kerre, E.E., Nachtegael, M. (eds.) Fuzzy Techniques in Image Processing. STUDFUZZ, vol. 52, pp. 172–193. Springer, Heidelberg (2000)
Bloch, I.: Fuzzy spatial relationships for image processing and interpretation: a review. Image Vision Comput. 23(2), 89–110 (2005)
Bhaskaran, V., Konstantinides, K.: Image and Video Compression Standards: Algorithms and Applications, 2nd edn. Kluwer, Norwell (1995)
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Naskar, R., Chakraborty, R.S. (2012). Fuzzy Inference Rule Based Reversible Watermarking for Digital Images. In: Venkatakrishnan, V., Goswami, D. (eds) Information Systems Security. ICISS 2012. Lecture Notes in Computer Science, vol 7671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35130-3_11
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DOI: https://doi.org/10.1007/978-3-642-35130-3_11
Publisher Name: Springer, Berlin, Heidelberg
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