Mobile Watermarking against Geometrical Distortions

Mobile watermarking robust to geometrical distortions is still a great challenge. In mobile watermarking, efficient computation is necessary because mobile devices have very limited resources due to power consumption. In this paper, we propose a low-complexity geometrically resilient watermarking approach based on the optimal tradeoff circular harmonic function (OTCHF) correlation filter and the minimum average correlation energy Mellin radial harmonic (MACE-MRH) correlation filter. By the rotation, translation and scale tolerance properties of the two kinds of filter, the proposed watermark detector can be robust to geometrical attacks. The embedded watermark is weighted by a perceptual mask which matches very well with the properties of the human visual system. Before correlation, a whitening process is utilized to improve watermark detection reliability. Experimental results demonstrate that the proposed watermarking approach is computationally efficient and robust to geometrical distortions.

[1]  Dai-Kyung Hyun,et al.  A Low-Complexity Mobile Watermarking Scheme Resisting Scale Distortions , 2014 .

[2]  Ahmed H. Tewfik,et al.  Image watermarking by moment invariants , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[3]  Xuelong Li,et al.  Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[4]  Thierry Pun,et al.  Multibit digital watermarking robust against local nonlinear geometrical distortions , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[5]  Benoit M. Macq,et al.  Geometrically invariant watermarking using feature points , 2002, IEEE Trans. Image Process..

[6]  Xuelong Li,et al.  Local Feature Based Geometric-Resistant Image Information Hiding , 2010, Cognitive Computation.

[7]  Jiying Zhao,et al.  RST Invariant Image Watermarking Algorithm With Mathematical Modeling and Analysis of the Watermarking Processes , 2009, IEEE Trans. Image Process..

[8]  Jun Wu,et al.  A New Digital Image Watermarking Algorithm Resilient to Desynchronization Attacks , 2007, IEEE Transactions on Information Forensics and Security.

[9]  Shahram Shirani,et al.  A robust multimedia watermarking technique using Zernike transform , 2001, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564).

[10]  Chang Dong Yoo,et al.  Image watermarking based on invariant regions of scale-space representation , 2006, IEEE Transactions on Signal Processing.

[11]  B. V. K. Vijaya Kumar,et al.  Correlation filters with controlled scale response , 2006, IEEE Transactions on Image Processing.

[12]  Min Liu,et al.  The RST invariant digital image watermarking using Radon transforms and complex moments , 2010, Digit. Signal Process..

[13]  Jean-Paul M. G. Linnartz,et al.  Improved watermark detection reliability using filtering before correlation , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[14]  C.-C. Jay Kuo,et al.  Synchronized detection of the block-based watermark with invisible grid embedding , 2001, IS&T/SPIE Electronic Imaging.

[15]  Miroslaw Pawlak,et al.  Circularly orthogonal moments for geometrically robust image watermarking , 2007, Pattern Recognit..

[16]  B. V. K. Vijaya Kumar,et al.  Optimal tradeoff circular harmonic function correlation filter methods providing controlled in-plane rotation response , 2000, IEEE Trans. Image Process..

[17]  Ingemar J. Cox,et al.  Rotation, scale, and translation resilient watermarking for images , 2001, IEEE Trans. Image Process..

[18]  Xuelong Li,et al.  Local histogram based geometric invariant image watermarking , 2010, Signal Process..

[19]  Lei Guo,et al.  Combining Interest Point and Invariant Moment for Geometrically Robust Image Watermarking , 2009, J. Inf. Sci. Eng..

[20]  Xuelong Li,et al.  A local Tchebichef moments-based robust image watermarking , 2009, Signal Process..

[21]  Thierry Pun,et al.  Rotation, scale and translation invariant spread spectrum digital image watermarking , 1998, Signal Process..

[22]  Sang Uk Lee,et al.  Robust image watermarking using local Zernike moments , 2009, J. Vis. Commun. Image Represent..

[23]  Irene G. Karybali,et al.  Efficient spatial image watermarking via new perceptual masking and blind detection schemes , 2006, IEEE Transactions on Information Forensics and Security.

[24]  Thierry Pun,et al.  Robust template matching for affine resistant image watermarks , 2000, IEEE Trans. Image Process..

[25]  Yu-Chuan Chang,et al.  Geometrically Resilient Digital Image Watermarking by Using Interest Point Extraction and Extended Pilot Signals , 2013, IEEE Transactions on Information Forensics and Security.

[26]  PunThierry,et al.  Rotation, scale and translation invariant spread spectrum digital image watermarking , 1998 .

[27]  Iwan Setyawan,et al.  Exhaustive geometrical search and the false positive watermark detection probability , 2003, IS&T/SPIE Electronic Imaging.

[28]  Yao Zhao,et al.  LDFT-Based Watermarking Resilient to Local Desynchronization Attacks , 2013, IEEE Transactions on Cybernetics.

[29]  Mauro Barni,et al.  Effectiveness of exhaustive search ant template matching against watermark de-synchronization , 2005 .

[30]  Xiangyang Wang,et al.  Invariant image watermarking using multi-scale Harris detector and wavelet moments , 2010, Comput. Electr. Eng..

[31]  Sviatoslav Voloshynovskiy,et al.  Watermark template attack , 2001, IS&T/SPIE Electronic Imaging.

[32]  Ioan-Catalin Dragoi,et al.  Local-Prediction-Based Difference Expansion Reversible Watermarking , 2014, IEEE Transactions on Image Processing.

[33]  Qingzhong Liu,et al.  Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images , 2008, Pattern Recognit..

[34]  M. Kutter.  Watermaking resisting to translation, rotation, and scaling , 1998 .

[35]  Yau-Hwang Kuo,et al.  On the Selection of Optimal Feature Region Set for Robust Digital Image Watermarking , 2011, IEEE Transactions on Image Processing.

[36]  Heung-Kyu Lee,et al.  Invariant image watermark using Zernike moments , 2003, IEEE Trans. Circuits Syst. Video Technol..