Robust Adaptive Watermarking Based on Image Contents Using Wavelet Technique
Автор: A. K. Verma, C. Patvardhan, C. Vasantha Lakshmi
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 2 vol.7, 2015 года.
Бесплатный доступ
A good watermarking scheme should be able to perform equally well on all types of images irrespective of image contents because practically watermarking has to be applied to images of all types. In this paper, it is shown that in wavelet based spread spectrum technique, watermarking at level 1 decomposition is better for textured images while watermarking at level 2 decomposition is better for non-textured images to achieve maximum robustness against various types of attacks. The proposed wavelet decomposition level selection algorithm utilizes the edge histogram to classify the host image as textured or non-textured image and automatically selects the level of decomposition for robust watermarking. The use of Spread Spectrum watermarking technique and Bior6.8 wavelet, results better robustness. Performance of the proposed scheme and its relative effectiveness is demonstrated on both categories of images under different attacks.
Wavelets, Bior6.8, Robustness, Correlation, Edge Histogram, Level of decomposition, Image Contents
Короткий адрес: https://sciup.org/15013528
IDR: 15013528
Список литературы Robust Adaptive Watermarking Based on Image Contents Using Wavelet Technique
- R. G. Van Schyndel, A. Z. Tirkel, C. F. Osborne, “A digital watermark”, IEEE Proceedings ICIP, vol.2, pp. 86-90, 1994.
- N. Nikolaidis, I. Pitas, “Copyright protection of images using robust digital signatures”, IEEE International Conference on Acoustics, Speech Signal Processing, vol. 4, pp.2168-2171, May 1996.
- R. Wolfgang, E. Delp, “A watermark for digital image”, IEEE Proceedings ICIP, Vol.3, pp.211-214, 1996.
- Emir Ganic, Scott D. Dexter, Ahmet M. Eskicioglu, “Embedding Multiple Watermarks in the DFT Domain using Low and High Frequency Bands”, Proceedings on SPIE international conference on Security, Steganography, and Watermarking of Multimedia ContentsVII, Vol. 5681, 2005.
- Lin S. D., Chin Feng Chen, “A robust DCT-based watermarking for copyright protection”, IEEE Transactions on Consumer Electronics, Vol. 46, Issue.03, pp. 415-421, August, 2000.
- I. J. Cox, Joe Kilian, F. Thomson Leighton, Talal Shamoon, "Secure Spread Spectrum Watermarking for Multimedia", IEEE Transactions on Image Processing, Vol. 6, No. 12, December 1997.
- C. V. Serdean, M. Tomlinson, J. G. Wade, M. A. Ambroze, “Protecting Intellectual Rights: Digital WM in the Wavelet Domain”, Proceedings of the IEEE International Workshop on Trends and Recent Achievements in Information Technology, 16-18 May 2002.
- C. Patvardhan, A. K. Verma, C. Vasantha Lakshmi, "A Comparative Analysis of Spread Spectrum Watermarking Technique in Wavelet Domain", Journal of Computer Science and Engineering (JCSE), U. K., Vol. 9, Issue 2, pp. 38-43, October 2011.
- C. Patvardhan, A. K. Verma, C. Vasantha Lakshmi, "A Robust Wavelet Packet Based Blind Digital Image Watermarking using HVS characteristics", International Journal of Computer Applications (IJCA), Vol. 36(9), pp. 06-12, December 2011.
- Nikita Kashyap, G. R. Sinha, "Image Watermarking Using 3-Level Discrete Wavelet Transform (DWT)", International Journal of Modern Education and Computer Science, MECS, Vol. 3, pp. 50-56, 2012.
- M. Natarajan, Y. Govindarajan, "Performance Comparison of single and multiple watermarking techniques", International Journal of Computer Network and Information Security, MECS, Vol. 7, pp. 28-34, 2014.
- M. S. Kankanhalli, Rajmohan, K. R. Ramakrishnan, "Content Based Watermarking of Images", Proceedings of the 6th ACM International Conference on Multimedia, pp. 61-70, Bristol, UK, September 1998.
- Xiaojun Qi, Ji Qi, "A robust content-based digital image watermarking scheme", Elsevier Journal of Signal Processing, Vol. 87, pp. 1264-1280, 2007.
- A. K. Parthasarathy, SubhashKak, "An Improved Method of Content Based Image Watermarking", IEEE Transactions on Broadcasting, Vol. 53, No. 02, pp. 468-479, 2007.
- Sviatoslav Voloshynovskiy, Alexander Herrigel, Nazanin Baumgaertner, Thierry Pun, "A Stochastic Approach to Content Adaptive Digital Image Watermarking", Proceedings of 3rd Springer International Workshop on Information Hiding (IH), pp. 211-236, 1999.
- Mauro Barni, Franco Bartolini, Alessandro Piva, "Improved Wavelet-Based Watermarking Through Pixel-Wise Masking", IEEE Transactions on Image Processing, Vol. 10, No. 05, pp. 783-791, 2001.
- Zhihua Xie, Shengqian Wang, Lixin Gan, Lin Zhang, Zhenghua Shu, "Content Based Image Watermarking in the Ridgelet Domain", IEEE International Symposium on Electronic Commerce and Security (ISECS), pp.877-881, 2008.
- F. Autrusseau, P. Le Callet, A. Ninassi, "A study of content based watermarking using an advanced HVS model", IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 485-488, 2007.
- Chih-Chin Lai, Chi-Feng Chan, Chen-Sen Ouyang, Hui-Fen Chiang, "A Robust Feature-Based Image Watermarking Scheme ", Proceedings of 4th IEEE International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), pp. 581-585, July 2013.
- Chun-Hung Chena, Yuan-Liang Tangb, Chih-Peng Wangb, Wen-Shyong Hsieha, "A robust watermarking algorithm based on salient image features", Optik - International Journal for Light and Electron Optics, Elsevier, Volume 125, Issue 3, pp. 1134–1140, Feb. 2014.
- Brodatz Texture Database, Available on http://www.ux.uis.no/~tranden/brodatz.html.
- Chee Sun Won, Dong Kwon Park, and Soo-Jun Park, “Efficient Use of MPEG-7 Edge Histogram Descriptor”, ETRI Journal, Volume 24, Number 1, February 2002.
