Abstract
This paper investigates the transform domain-based adaptive watermark algorithm based on fuzzy inference. In addition, our approach has double-aim in first to enhance the robustness of the watermarking and in second to reduce the complexity of the fuzzy inference rule. Not only statistical characteristics (SC) but also human visual system (HVS) parameters, such as contrast sensitivity, texture degree and average value are involved to select the optimal coefficients region. Rule based fuzzy inference map is designed by utilizing a possible relation between HVS and SC. The performance analysis of the proposed approach is evaluated by the experiments of imperceptibility and correctness of watermark. Experimental results showed that proposed scheme has a better PSNR and has stronger response than previous results of Cox et al.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Busch, C., Funk, W., Wolthusen, S.: Digital Watermarking: From Concepts to Realtime Video Applications. IEEE Computer Graphics and Applications 19, 25–35 (1999)
Barni, M., Bartolini, F., Cappellini, V., Checcacci, N.: Object Watermarking for MPEG4 Video Streams Copyright Protection. In: Proc. Of the SPIE In Security and watermarking of Multimedia Contents, vol. 3971, pp. 465–476 (2000)
Piva, A., Caldelli, R., Rosa, A.: A DWT-based Object Watermarking System for MPEG4 Video Streams. In: Proc. of IEEE International Conference Image Processing, pp. 5–8 (2000)
Hsu, C., Wu, J.: Digital Watermarking for Video. In: Proc IEEE International Conference on Digital Signal Processing, vol. 1 (1997)
Cox, J., Miller, M.L.: A review of watermarking and the importance of perceptual modeling. In: Proc. SPIE Conf. on Human Vision and Electronic Imaging, vol. 3016, pp. 92–99 (1997)
Lou, D.C., Yin, T.L.: Adaptive digital watermarking using fuzzy logic techniques. The journal of the Society of Photo-optical Instrumentation Engineers 41, 2675–2687 (2002)
Kim, Y.H., Song, H.H.: An Adaptive Digital Watermarking using DWT and FIS. Journal of Digital Contents Society 5, 128–131 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, YH., Song, Hh., Kang, H.J. (2005). Adaptive Selection of Coefficient’s Portions in the Transform Domain Watermarking. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_76
Download citation
DOI: https://doi.org/10.1007/11552451_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28895-4
Online ISBN: 978-3-540-31986-3
eBook Packages: Computer ScienceComputer Science (R0)