Improved watermarking technique based on significant difference of lifting wavelet coefficients

In this paper, a blind watermarking scheme based on significant difference of lifting wavelet transform coefficients has been proposed. The difference between two maximum coefficients in a block is called as significant difference. Embedding of binary watermark has been done based on the largest coefficient of randomly shuffled blocks of CH3 sub-band. This sub-band is quantized using the predefined threshold value by comparing the significant difference value with the average of significant difference value of all blocks. The watermarked image shows no perceptual degradation as the PSNR value exceeds 42 dB. An adaptive-thresholding-based method is used for watermark extraction. In the proposed technique, the benefit of using lifting wavelet over traditional wavelet is the maximum energy compaction property, which helps in resisting different attacks. The simulation results show higher performance of the proposed technique as compared to the similar existing techniques under different geometric and nongeometric attacks such as amplification, median filtering, sharpening, scaling, rotation, Gaussian noise, salt and paper noise, Gaussian filter and JPEG compression.

[1]  W. Sweldens.  The Lifting Scheme: A Custom - Design Construction of Biorthogonal Wavelets "Industrial Mathematics , 1996 .

[2]  Wim Sweldens,et al.  The lifting scheme: a construction of second generation wavelets , 1998 .

[3]  Robert D. Nowak,et al.  Adaptive wavelet transforms via lifting , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[4]  H J Wang,et al.  Wavelet-based digital image watermarking. , 1998, Optics express.

[5]  Ja-Ling Wu,et al.  Gradient Original Image After JPEG compression or image processing Gradient magnitude Mean of gradient magnitude Determine amount of hidden watermark bits Intensity image Mean of gradient magnitude , 2002 .

[6]  Yong-Huai Huang,et al.  Hiding digital watermarks using multiresolution wavelet transform , 2001, IEEE Trans. Ind. Electron..

[7]  Guoping Xu,et al.  A novel blind watermarking algorithm based on multiband wavelet transform , 2004, Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004..

[8]  Yuan-Pei Lin,et al.  Wavelet tree quantization for copyright protection watermarking , 2004, IEEE Transactions on Image Processing.

[9]  Fuhao Zou,et al.  A robust adaptive image watermarking algorithm , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[10]  S. Kimpan,et al.  Variable block size based adaptive watermarking in spatial domain , 2004, IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004..

[11]  M. Fujiyoshi,et al.  An image-quality guaranteed watermarking scheme with spreading spectrum of watermark , 2004, IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004..

[12]  Zhang Guannan,et al.  An adaptive block-based blind watermarking algorithm , 2004, Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004..

[13]  Jianyong Huang,et al.  Image digital watermarking algorithm using multiresolution wavelet transform , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[14]  Thomas Vogel,et al.  A high-capacity block based video watermark , 2004 .

[15]  Sangjin Lee,et al.  A Watermarking Method Using Quantization and Statistical Characteristics of Wavelet Transform , 2005, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05).

[16]  S. Choomchuay,et al.  A robust image watermarking using multiresolution analysis of wavelet , 2005, IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005..

[17]  Xinxin Niu,et al.  Blind Image Watermarking Scheme Based on Wavelet Tree Quantization Robust to Geometric Attacks , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[18]  Decai Huang,et al.  An Integer Wavelet Based Multiple Logo-watermarking Scheme , 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).

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

[20]  Amit Phadikar,et al.  Quantization Based Data Hiding Scheme for Efficient Quality Access Control of Images Using DWT via Lifting , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

[21]  Gaurav Bhatnagar,et al.  A new robust reference watermarking scheme based on DWT-SVD , 2009, Comput. Stand. Interfaces.

[22]  Andreas Uhl,et al.  Attack on “Watermarking Method Based on Significant Difference of Wavelet Coefficient Quantization” , 2009, IEEE Transactions on Multimedia.

[23]  Izharuddin,et al.  Blind self-authentication of images for robust watermarking using integer wavelet transform , 2009 .

[24]  Veysel Aslantas,et al.  An optimal robust digital image watermarking based on SVD using differential evolution algorithm , 2009 .

[25]  L. Ganesan,et al.  Analysis of reversible image watermarking using bit plane coding and lifting wavelet transform with attacks , 2010, 2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES.

[26]  Xiaolong Li,et al.  Efficient Generalized Integer Transform for Reversible Watermarking , 2010, IEEE Signal Processing Letters.

[27]  Nicolae Vizireanu,et al.  Robust wavelet-based video watermarking scheme for copyright protection using the human visual system , 2011, J. Electronic Imaging.

[28]  Chih-Chin Lai,et al.  An improved SVD-based watermarking scheme using human visual characteristics , 2011 .

[29]  Zhen Li,et al.  A Robust Audio Watermarking Scheme Based on Lifting Wavelet Transform and Singular Value Decomposition , 2011, IWDW.