Image adaptive DCT- SVD based digital watermarking scheme by human visual characteristics
Abstract
The paper proposes an efficient watermarking scheme by incorporating singular valuedecomposition (SVD), discrete cosine transform (DCT) and homogeneity informationin the carrier image. The algorithm decomposes the carrier and watermark images intonon-overlapping blocks and analyzes the homogeneity of pixels in them to identify thepossible blocks of carrier image where the suitable watermark block can be attached sothat the watermarking process maintain better visual image fidelity in the watermarkedimage. The algorithm avoids the decomposed high frequency carrier image blockswhile attaching watermark blocks to reduce the visual distortion in the watermarkedimages. Experimental results show that the proposed algorithm produces good qualitywatermarked images and are less immune to potential attacks.References
Alexander, S., Scott, D. & Ahmet, M. E. 2006. Secure DCT-SVD Domain Image Watermarking:
Embedding Data in All Frequencies. Proceedings of the Image Processing seminar. Brooklyn
College, New York, USA.
Bhosale, S., Thube, G., Jangam, P. & Borse, R. 2012. Employing SVD and Wavelets for Digital Image
Forensics and Tampering Detection. Proceedings of the IEEE International Conference on Advances
in Mobile Network. Communication and its Applications. Bangalore, India.
Chen, Y., Weiyu, Y. & JiuChao, F. 2012. A digital watermarking based on discrete fractional fourier
transformation DWT and SVD. Proceedings of the IEEE International Conference on Control and
Decision. Taiyuan, China.
Chih-Chin, L. 2010. Digital Image Watermarking Using Discrete Wavelet Transform and Singular Value
Decomposition. IEEE Transactions on Instrumentation and Measurement, 59(11): 3060–3063.
Coatrieux, G., Wei, P., Cuppens-Boulahia, N., Cuppens, F. & Roux, C. 2012. Reversible Watermarking
Based on Invariant Image Classification and Dynamic Histogram Shifting. IEEE Transactions on
Information forensics and security, 8(1):111-120.
Emir, G. & Ahmet, M. E. 2004. Robust DWT SVD domain image watermarking: embedding data in all
frequencies. Proceedings of the International Multimedia Conference. Magdeburg, Germany.
Gonzalez, R. C. & Richard E. W. 2008. Digital image processing. Prentice Hall, New Jersey, USA.
Hailiang, S., Nan, W., Zihui,W., Yue, W., Huiping, Z. & Yanmin, Y. 2012. RST invariant image
watermarking scheme using DWT-SVD. Proceedings of the IEEE International Symposium on
Instrumentation & Measurement, Sensor Network and Automation. Sanya, China.
Ingemar, J. C., Matthew, L. M., Jeffrey, A. B., Jessica, F. & Ton, K. 2008. Digital Watermarking and
Steganography. Morgan Kaufmann Publishers, Elsevier, Burlington, USA.
Ishikawa, Y., Kazutake, U. & Kazuhisa, Y. 2012. Optimization of Size of Pixel Blocks for Orthogonal
Transform in Optical Watermarking Technique. Journal of Display Technology, 8(9): 505-510.
Jen-Sheng, T., Win-bin, H. & Yau-Hwang, K. 2011. On the Selection of optimal Feature Region Set for
Robust Digital Image Watermarking. IEEE Transactions on Image Processing, 20(3): 735–743.
Jie, L., Xiamu N. & Wenhai K. 2006. Image Watermarking based on Singular Value Decomposition.
Proceedings of the International Conference on Intelligent Information Hiding and Multimedia
Signal Processing. California, USA.
Juergen, S. 2005. Digital Watermarking for Digital Media. Information Science Publishing, Hershey,
USA.
Kandpal, H., Hitanshu, K. & Manoj, K. 2012. Wave atom-SVD based digital image watermarking scheme. Proceedings of the IEEE Students Conference on Engineering and Systems. Allahabad,
Uttar Pradesh, India.
Koch E., Rindfrey J. & Zhao J. 1994. Copyright protection for multimedia data. Proceedings of the
Digital media and electronic publishing, USA.
Mason, A. J., Salmon, R. A., Werner, O. H. & Devlin, J. E. 2000. User requirements for watermarking
in broadcast applications. Proceedings of the International Broadcasting Convention. Amsterdam,
Netherlands.
Mitra, P., Gunjan, R. & Gaur, M. S. 2012. A multi-resolution watermarking based on contour let
transform using SVD and QR decomposition. Proceedings of the IEEE International Conference on
Recent Advances in Computing and Software Systems. Chennai, India.
Paul, P. B. & Ma, X. 2005. Image Adaptive Watermarking Using Wavelet Domain Singular Value
Decomposition. IEEE Transactions on Circuits and Systems for Video Technology, 15(1): 96-102.
Ray-Shine, R., Shi-Jinn, H., Jui-Lin, L., Tzong-Wang, K. & Rong-Jian, C. 2012. An improved SVDbased
watermarking technique for copyright protection. Journal Expert Systems with Applications,
(1): 673-689.
Vargas, L. & Elizabeth, V. 2013. An Implementation of Reversible Watermarking for Still Images. Latin
America IEEE Transactions (Revista IEEE America Latina), 11(1): 54-59.
Varghese, J., Hussain, O. B., Babu, B., Basheer, J. M., Subash, S., Saadi, M. R. & Khan, M. S. 2014.
An efficient DCT-SVD based algorithm for digital image watermarking. Proceedings of the IEEE
International Carnahan Conference on Security Technology. Rome, Italy.
Walia, E. & Anu, S. 2013. Fragile and blind watermarking technique based on Weber’s law for medical
image authentication. IET Computer Vision, 7(1): 9-19.
Wang, W., Aidong, M ., Bo, Y. & Xiaobo, C. 2011. A novel robust zero watermarking scheme based on
DWT and SVD. Proceedings of the IEEE International Conference on Image and Signal Processing.
Shanghai, China.
Wang, C., Jiangqun, N. & Jiwu, H. 2012. An Informed Watermarking Scheme Using Hidden Markov
Model in the Wavelet Domain. IEEE Transactions on Information Forensics and Security, 7(3)
:853-867.
Wu, Y. 2005. On the security of an SVD-based ownership watermarking. IEEE Transactions on Multimedia,
(4): 624-627.
Yang, C. H. & Tsai, M. H. 2010. Improving histogram-based reversible data hiding by interleaving
predictions. IET Image processing, 4(4):223-234.
Zareian, M. & Hamid, R. T. 2013. Robust quantization index modulation-based approach for image
watermarking. IET Image Processing, 7(5): 432-441.
Zhou B. & Chen. A. 2004. Geometric Distortion Resilient Image Watermarking Algorithm Based on
SVD. Chinese Journal of Image and Graphics, 9(4): 506-512.
