Abstract
Nowadays image authentication plays a vital role for security. Watermarking techniques facilitate to hide the data in carrier image in such a way so that data would become imperceptible. Watermarking can be performed either in spatial domain or in transfer domain. Least Significant Bit (LSB) modification is the simple but non reliable theme, which is performed in spatial domain. In transfer domain, Singular Value Decomposition (SVD), Discrete Cosine Transformation (DCT), Fast Fourier Transformation (FFT), Discrete Wavelet Transformation (DWT) and Fast hadamard Transform (FHT) etc provide robust result. The goal of the paper is to present how such methods are useful to authenticate images and avoid image tampering. In our work, we have discussed block and non block based watermarking scheme performed in DCT domain using SVD. Several experiments are carried out to check the robustness of the algorithm. We conclude that non block based algorithm is superior in terms of visual quality after embedding and extraction, while its inferior in terms of some common signal processing attacks like rotation, scaling, translation etc.
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
Rfizul Haque, S.M.: Singular Value Decomposition and Descrete Cosine Transformation Based Image Watermarking. Master Thesis, Dept. of Interaction and System Design, Blekinge Institute of Technology, Sweeden (January 2008)
Sverdlov, A., Dexter, S., Eskicioglu, A.M.: Secure DCT-SVD Domain Image Watermarking: Embedding Data in All Frequencies
Basso, A., Bergadano, F., Cavagnino, D., Pomponiu, V., Vernone, A.: A Novel Block-based Watermarking Scheme Using the SVD Transformation
Wu, H.-C., Yeh, C.-P., Tsai, C.-S.: A Semi-fragile Watermarking Scheme Based on SVD and VQ Techniques. In: Gavrilova, M.L., Gervasi, O., Kumar, V., Tan, C.J.K., Taniar, D., Laganá, A., Mun, Y., Choo, H. (eds.) ICCSA 2006. LNCS, vol. 3982, pp. 406–415. Springer, Heidelberg (2006)
Yavuz, E., Telatar, Z.: SVD Adapted DCT Domain DC Sub-band Image Watermarking Against Watermark Ambiguity. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds.) MRCS 2006. LNCS, vol. 4105, pp. 66–73. Springer, Heidelberg (2006)
Cox, I., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. In: IEEE Transaction on Image Processing, Piscataway, New Jersey, USA, pp. 1673–1687 (December 1997)
Barni, M., Bartolini, F., Piva, A.: A DCT domain system for robust image watermarking. IEEE Transactions on Signal Processing 66, 357–372 (1998)
Chu, W.C.: DCT based image watermarking using sub Sampling. IEEE Trans Multimedia 5, 34–38 (2003)
Ruanaidh, J.J.K., Dowling, W.J., Boland, F.M.: Phase watermarking of digital images. In: Proceedings of the 1996 International Conference on Image Processing, Lausanne, Switzerland, vol. 3, pp. 239–242 (September 1996)
Peiningand, T., Eskicioglu Ahmet, M.: An Adaptive Method for Image Recovery in the DFT Domain. Journal of Multimedia 1(6) ( September 2006)
Dugad, R., Ratakonda, K., Ahuja, N.: A new wavelet-based scheme for watermarking images. In: International Conference on Image Processing Proceedings (ICIP 1998), Chicago, USA, October 4-7, vol. 2, pp. 419–423 (1998)
Barni, M., Bartolini, F., Piva, A.: Improved wavelet based watermarking through pixel-wise masking. IEEE Trans Image Processing 10, 783–791 (2001)
Wang, Y., Doherty, J.F., Van Dyck, R.E.: A wavelet based watermarking algorithm for ownership verification of digital images. IEEE Transactions on Image Processing 11(2), 77–88 (2002)
Podilchuk, C., Zeng, W.: Image-adaptive watermarking using visual models. IEEE J. Sel. Are. Comm. 16, 525–539 (1998)
Khayam, S.A.: The Discrete Cosine Transform – Theory and Application, Department of Electrical and Computer engineering, Michigan State university (2003)
Ochoa, H., Rao, K.R.: A Hybrid DWT-SVD Image-Coding System (HDWTSVD) for Color Images
Jain, A.K.: Fundamentals of Digital Image Processing. Prentice-Hall, Englewood Cliffs (1989)
Calagna, M., Guo, H., Mancini, L.V., Jajodia, S.: Robust Watermarking System based on SVD Compression. In: Proceedings of the 2006 ACM Symposium on Applied Computing, Dijon, France, April 23 -27, pp. 1341–1347 (2006)
Chang, C.-C., Tsai, P., Lin, C.-C.: SVD-based Digital Image Watermarking scheme. Pattern Recognition Letters 26, 1577–1586 (2005)
Mohan, B.C., Kumar, S.: A Robust Digital Image Watermarking Scheme using Singular Value Decomposition. J. Multimed. 3, 7–15 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Goyani, M., Gohil, G. (2011). Performance Analysis of Block and Non Block Based Approach of Invisible Image Watermarking Using SVD in DCT Domain. In: Meghanathan, N., Kaushik, B.K., Nagamalai, D. (eds) Advances in Computer Science and Information Technology. CCSIT 2011. Communications in Computer and Information Science, vol 131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17857-3_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-17857-3_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17856-6
Online ISBN: 978-3-642-17857-3
eBook Packages: Computer ScienceComputer Science (R0)