A robust watermarking technique based on biorthogonal wavelet transform

This paper presents a robust & invisible digital image watermarking technique using biorthogonal wavelet transform. The proposed method is founded more suitable for copyright protection and robustness than orthogonal wavelet transform based watermarking techniques. In proposing method the blue channel of the cover image is selected for embedding watermark because it is more resistant to changes compared to red and green channels. The blue channel is decomposed into n levels using biorthogonal wavelet transform because biorthogonal wavelet transform is an invertible transform and has the property of exact reconstruction and smoothness. The horizontal and vertical subbands are selected for embedding watermark. This method is shown to be robust against many signal processing operations as well as geometrical attacks.

[1]  S. Hajjara,et al.  Image Information Hiding Using Second Order Biorthogonal Wavelets , 2006, 2006 International Conference on Information and Automation.

[2]  Chin-Chen Chang,et al.  Robust authentication scheme for protecting copyrights of images and graphics , 2002 .

[3]  Shih-Hsuan Yang Wavelet filter evaluation for image watermarking , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[4]  M.K. Kundu,et al.  Capacity improvement in spread spectrum watermarking using biorthogonal wavelet , 2005, 48th Midwest Symposium on Circuits and Systems, 2005..

[5]  C. F. Osborne,et al.  A digital watermark , 1994, Proceedings of 1st International Conference on Image Processing.

[6]  B. S. Manjunath,et al.  Robust embedded data from wavelet coefficients , 1997, Electronic Imaging.

[7]  Sotiris Pavlopoulos,et al.  Multiple Image Watermarking Applied to Health Information Management , 2006, IEEE Transactions on Information Technology in Biomedicine.

[8]  Balasubramanian Raman,et al.  A new robust watermarking scheme for color images , 2010, 2010 IEEE 2nd International Advance Computing Conference (IACC).

[9]  Fernando Pérez-González,et al.  DCT-domain watermarking techniques for still images: detector performance analysis and a new structure , 2000, IEEE Trans. Image Process..

[10]  Wei-Bin Lee,et al.  A public verifiable copy protection technique for still images , 2002, J. Syst. Softw..

[11]  Pingzhi Fan,et al.  An Efficient Watermarking Method Based on Significant Difference of Wavelet Coefficient Quantization , 2008, IEEE Transactions on Multimedia.

[12]  Der-Chyuan Lou,et al.  Dual-wrapped digital watermarking scheme for image copyright protection , 2007, Comput. Secur..

[13]  Ioannis Pitas,et al.  Copyright protection of images using robust digital signatures , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[14]  Malay Kumar Kundu,et al.  Robust and Blind Spatial Watermarking In Digital Image , 2002, ICVGIP.

[15]  Deepa Kundur,et al.  Digital watermarking using multiresolution wavelet decomposition , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[16]  Deepa Kundur,et al.  Toward robust logo watermarking using multiresolution image fusion principles , 2004, IEEE Transactions on Multimedia.

[17]  Ingemar J. Cox,et al.  Digital Watermarking and Steganography , 2014 .