Based Image Watermarking Algorithm Based on Qr Decomposition in Lifting Wavelet

  • Authors

    • Shailesh Kumar Shrivastava
    • Dr. S.K Mahendran ting Wavelet
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.36.23907
  • .

  • Abstract

    In this paper, a non-blind watermarking system based on lifting wavelet transform and QR factorization has been proposed. The variance between coefficients of lifting wavelet transform in a block of size 2 x 2 has been used to embed binary watermark and blocks are randomly shuffled. The system minimizes distortion of watermarked image. The performance of scheme has been tested on some standard images and the simulation results have been evaluated and compared with some traditional methods. The experimental result shows that the proposed system is robust against image processing attacks.

  • References

    1. [1] Gaurav Bhatnagar and Balasubramanian Raman. A new robust reference watermarking scheme based on dwt-svd. Computer Standards & Interfaces, 31(5):1002-1013, 2009. Specification, Standards and Information Management for Distributed Systems.

      [2] Amit Bohra, Omar Farooq, and Izharuddin. Blind self-authentication of images for robust watermarking using integer wavelet transform. AEU -International Journal of Electronics and Communications, 63(8):703 707, 2009.

      [3] KeunDuck Byun, Sangjin Lee, and HyungJun Kim. A watermarking method using quantization and statistical characteristics of wavelet transform. In Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT’05), pages 689{693, Dec 2005.

      [4] Ding-Yun Chen, Ming Ouhyoung, and Ja-Ling Wu. A shift-resisting public watermark system for protecting image processing software. IEEE Transactions on Consumer Electronics, 46(3):404-414, Aug 2000.

      [5] Hong-yuan Chen and Yue-sheng Zhu. A robust watermarking algorithm based on qr factorization and dct using quantization index modulation technique. Journal of Zhejiang University SCIENCE C, 13(8):573{584, Aug 2012.

      [6] Ingrid Daubechies and Wim Sweldens. Factoring wavelet transforms into lifting steps. Journal of Fourier Analysis and Applications, 4(3):247-269, May 1998.

      [7] Wenbing Fan, Jing Chen, and Jina Zhen. Spiht algorithm based on fast lifting wavelet transform in image compression. In Yue Hao, Jiming Liu, Yu-Ping Wang, Yiu-ming Cheung, Hujun Yin, Licheng Jiao, Jianfeng Ma, and Yong-Chang Jiao, editors, Computational Intelligence and Security, pages 838-844, Berlin, Heidelberg, 2005. Springer Berlin Heidelberg.

      [8] J. G. F. Francis. The qr transformation a unitary analogue to the lr transformation|part 1. The Computer Journal, 4(3):265-271, 1961.

      [9] Jianyong Huang and Changsheng Yang. Image digital watermarking algorithm using multiresolution wavelet transform. In 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), volume 3, pages 2977-2982 vol.3, Oct 2004.

      [10] Mingyan Jiang, Guoping Xu, and Dongfeng Yuan. A novel blind watermarking algorithm based on multiband wavelet transform. In Signal Processing, 2004. Proceedings. ICSP ’04. 2004 7th International Conference on, volume 1, pages 857-860 vol.1, Aug 2004.

      [11] Enping Li, Huaqing Liang, and Xinxin Niu. Blind image watermarking scheme based on wavelet tree quantization robust to geometric attacks. In 2006 6th World Congress on Intelligent Control and Automation, volume 2, pages 10256-10260, 2006.

      [12] N. Lin, J. Shen, X. Guo, and J. Zhou. A robust image watermarking based on dwt-qr decomposition. In 2011 IEEE 3rd International Conference on Communication Software and Networks, pages 684-688, May 2011.

      [13] W. H. Lin, S. J. Horng, T. W. Kao, P. Fan, C. L. Lee, and Y. Pan. An efficient watermarking method based on significant difference of wavelet coefficient quantization. IEEE Transactions on Multimedia, 10(5):746-757, Aug 2008.

      [14] Khaled Loukhaoukha, Jean-Yves Chouinard, and Mohamed Haj Taieb. Multi-objective genetic algorithm optimization for image watermarking based on singular value decomposition and lifting wavelet transform. In Abderrahim Elmoataz, Olivier Lezoray, Fathallah Nouboud, Driss Mammass, and Jean Meunier, editors, Image and Signal Processing, pages 394-403, Berlin, Heidelberg, 2010. Springer Berlin Heidelberg.

      [15] Yashar Naderahmadian and Saied Hosseini-Khayat. Fast watermarking based on qr decomposition in wavelet domain. In Proceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP ’10, pages 127-130, Washington, DC, USA, 2010. IEEE Computer Society.

      [16] A. Phadikar, S. P. Maity, and M. K. Kundu. Quantization based data hiding scheme for efficient quality access control of images using dwt via lifting. In 2008 Sixth Indian Conference on Computer Vision, Graphics Image Processing, pages 265-272, Dec 2008.

      [17] Wei Song, Jian-jun Hou, Zhao-hong Li, and Liang Huang. Chaotic system and qr factorization based robust digital image watermarking algorithm. Journal of Central South University of Technology, 18(1):116-124, Feb 2011.

      [18] T. Sree Sharmila and K. Ramar. Efficient analysis of hybrid directional lifting technique for satellite image denoising. Signal, Image and Video Processing, 8(7):1399-1404, Oct 2014.

      [19] Qingtang Su, Yugang Niu, Gang Wang, Shaoli Jia, and Jun Yue. Color image blind watermarking scheme based on qr decomposition. Signal Processing, 94:219-235, 2014.

      [20] T. Tachibana, M. Fujiyoshi, and H. Kiya. An image-quality guaranteed watermarking scheme with spreading spectrum of watermark. In IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004., volume 1, pages 330{334 vol.1, Oct 2004.

      [21] Vivek Singh Verma and Rajib Kumar Jha. Improved watermarking technique based on significant difference of lifting wavelet coefficients. Signal, Image and Video Processing, 9(6):1443{1450, Sep 2015.

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  • How to Cite

    Kumar Shrivastava, S., & S.K Mahendran ting Wavelet, D. (2018). Based Image Watermarking Algorithm Based on Qr Decomposition in Lifting Wavelet. International Journal of Engineering & Technology, 7(4.36), 414-418. https://doi.org/10.14419/ijet.v7i4.36.23907

    Received date: 2018-12-14

    Accepted date: 2018-12-14

    Published date: 2018-12-09