A blind watermarking algorithm based on adaptive quantization in Contourlet domain

Aiming at the copyright protection of digital works, a blind watermarking algorithm in Contourlet domain based on adaptive quantization is proposed. The algorithm adaptively regulates quantization step size in the Contourlet domain according to the mean of each sub block, so that the embedding strength of watermark can better adapt to the characteristics of each sub block. Before extracting watermark, the rotation correction algorithm has been applied in processing image, which greatly improves the ability of blind watermarking algorithm to resist rotation attacks. Many anti attack experiments are carried out on the proposed algorithm. The results show that the algorithm has good robustness, and it has distinctness advantages in anti JPEG compression, Gauss noise, shear and rotation attack.

[1]  Guo Wu,et al.  Adaptive Semi-Fragile Watermarking Based on Complete Quantization and Image Contents , 2013 .

[2]  Shaiful Jahari Hashim,et al.  Digital image watermarking based on angle quantization in discrete contourlet transform , 2017, J. King Saud Univ. Comput. Inf. Sci..

[3]  Jianhong Sun,et al.  Robust Image Watermarking Algorithm Based on Contourlet Transform and SVD Decomposition , 2012 .

[4]  Zhen Huang,et al.  Contourlet domain watermarking algorithms based on Arnold scrambling and singular value decomposition , 2013, Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC).

[5]  Kai Wang,et al.  Adaptive spread transform QIM watermarking algorithm based on improved perceptual models , 2013 .

[6]  Yiqun Liu,et al.  A Color Digital Watermarking in Nonsampled Contourlet Domain Using Generic Algorithm , 2013, 2013 5th International Conference on Intelligent Networking and Collaborative Systems.

[7]  Dong-Wook Kim,et al.  Adaptive Watermarking Scheme Using Biased Shift of Quantization Index , 2010, J. Electr. Comput. Eng..

[8]  Hongbo Bi,et al.  A blind robust watermarking scheme based on CT and SVD , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[9]  Ali Daneshkhah,et al.  Adaptive angle quantization index modulation for robust image watermarking , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[10]  Ahmed Roukhe,et al.  Robust watermarking method based on contourlet transform, maximum entropy, and SVD decomposition , 2014, 2014 International Conference on Multimedia Computing and Systems (ICMCS).

[11]  Nadia Baaziz,et al.  Adaptive watermarking schemes based on a redundant contourlet transform , 2005, IEEE International Conference on Image Processing 2005.

[12]  Nian Cai,et al.  Difference angle quantization index modulation scheme for image watermarking , 2015, Signal Process. Image Commun..

[13]  K. Ramanjaneyulu,et al.  DCT Based Robust Image Watermarking Scheme using Adaptive Quantization Index Modulation and Genetic Algorithm , 2012, Int. J. Comput. Their Appl..

[14]  Jianmin Zhao,et al.  A Digital Watermarking Algorithm and Implementation Based on Improved SVD , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[15]  Sy C. Nguyen,et al.  A new image watermarking scheme using contourlet transforms , 2016, 2016 3rd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE).

[16]  Lin Li-yub,et al.  Robust digital watermark algorithm in Contourlet domain based on singular value decomposition , 2012 .

[17]  Shuo-Tsung Chen,et al.  Optimization-based image watermarking with integrated quantization embedding in the wavelet-domain , 2015, Multimedia Tools and Applications.

[18]  Sedigheh Ghofrani,et al.  Digital Watermarking Based on Contourlet-SVD , 2014 .

[19]  Chan Qin A Novel Digital Watermarking Algorithm in Contourlet Domain , 2014 .

[20]  Gong Zhang,et al.  An Adaptive Watermarking Scheme Based on Nonsubsampled Contourlet Transform for Color Image Authentication , 2008, 2008 The 9th International Conference for Young Computer Scientists.