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X. Qi and J. Qi, “A robust content-based digital image watermarking scheme,” Signal Processing 87(6), 1264–1280 (2007).

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X. Wang, J. Wu, and P. Niu, “A new digital image watermarking algorithm resilient to desynchronization attacks,” IEEE Trans. Info. Forens. Sec. 4,655–663 (2007).

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J. Dugelay, S. Roche, C. Rey, and G. Doerr, “Still-image watermarking robust to local geometric distortions,” IEEE Trans. Image Process. 15(9), 2831–2842 (2006).

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J. S. Seo, C. D. Chang, and D. Yoo, “Localized image watermarking based on feature points of scale-space representation,” Pattern Recognit. 37(7), 1365–1375 (2004).

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M. Hsieh and D. Tseng, “Perceptual digital watermarking for image authentication in electronic commerce,” Electron. Commerce Res. 4(1/2), 157–170 (2004).

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C. Tang and H. Hang, “A feature-based robust digital image watermarking scheme,” IEEE Trans. Signal Process. 51(4), 950–959 (2003).

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D. Zheng, J. Zhao, and A. Saddik, “Rst-invariant digital image watermarking based on log-polar mapping and phase correlation,” IEEE Trans. Circuits Syst. Video Technol. 13(8), 753–765 (2003).

[CrossRef]

H. Kim and H. Lee, “Invariant image watermark using zernike moments,” IEEE Trans. Circuits Syst. Video Technol. 8, 766–775 (2003).

P. Bas, J. Chassery, and B. Macq, “Geometrically invariant watermarking using feature points,” IEEE Trans. Image Process. 11(9), 1014–1028 (2002).

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C. Y. Lin, M. Wu, J. Bloom, I. Cox, M. Miller, and Y. Lui, “Rotation, scale, and translation resilient watermarking for images,” IEEE Trans. Image Process. 10(5), 767–782 (2001).

[CrossRef]

S. Pereira and T. Pun, “Robust template matching for affine resistant image watermarks,” IEEE Trans. Image Process. 9(6), 1123–1129 (2000).

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B. Chen and G. W. Wornell, “Preprocessed and postprocessed quantization index modulation methods for digital watermarking,” SPIE 3971, 48–59 (2000).

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C. Schmid, R. Mohr, and C. Bauckhage, “Evaluation of interest point detectors,” Int. J. Comput. Vis. 37(2), 151–172 (2000).

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J. Ruanaidh and T. Pun, “Rotation, scale and translation invariant spread spectrum digital image watermarking,” Signal Processing 66(3), 303–317 (1998).

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M. Alghoniemy and A. H. Tewfik, “Geometric invariance in image watermarking,” IEEE Trans. Image Process. 13(2), 145–153 (2004).

[CrossRef]
[PubMed]

M. Barni, “Effectiveness of exhaustive search and template matching against watermark desynchronization,” IEEE Signal Process. Lett. 12(2), 158–161 (2005).

[CrossRef]

P. Bas, J. Chassery, and B. Macq, “Geometrically invariant watermarking using feature points,” IEEE Trans. Image Process. 11(9), 1014–1028 (2002).

[CrossRef]

C. Schmid, R. Mohr, and C. Bauckhage, “Evaluation of interest point detectors,” Int. J. Comput. Vis. 37(2), 151–172 (2000).

[CrossRef]

C. Y. Lin, M. Wu, J. Bloom, I. Cox, M. Miller, and Y. Lui, “Rotation, scale, and translation resilient watermarking for images,” IEEE Trans. Image Process. 10(5), 767–782 (2001).

[CrossRef]

J. S. Seo, C. D. Chang, and D. Yoo, “Localized image watermarking based on feature points of scale-space representation,” Pattern Recognit. 37(7), 1365–1375 (2004).

[CrossRef]

P. Bas, J. Chassery, and B. Macq, “Geometrically invariant watermarking using feature points,” IEEE Trans. Image Process. 11(9), 1014–1028 (2002).

[CrossRef]

B. Chen and G. W. Wornell, “Preprocessed and postprocessed quantization index modulation methods for digital watermarking,” SPIE 3971, 48–59 (2000).

[CrossRef]

C. Y. Lin, M. Wu, J. Bloom, I. Cox, M. Miller, and Y. Lui, “Rotation, scale, and translation resilient watermarking for images,” IEEE Trans. Image Process. 10(5), 767–782 (2001).

[CrossRef]

R. M. Haralick, K. Shanmugam, and I. Dinstein, “Textural features for image classification,” IEEE Trans. Syst. Man Cybern. 3(6), 610–621 (1973).

[CrossRef]

J. Dugelay, S. Roche, C. Rey, and G. Doerr, “Still-image watermarking robust to local geometric distortions,” IEEE Trans. Image Process. 15(9), 2831–2842 (2006).

[CrossRef]
[PubMed]

J. Dugelay, S. Roche, C. Rey, and G. Doerr, “Still-image watermarking robust to local geometric distortions,” IEEE Trans. Image Process. 15(9), 2831–2842 (2006).

[CrossRef]
[PubMed]

C. Tang and H. Hang, “A feature-based robust digital image watermarking scheme,” IEEE Trans. Signal Process. 51(4), 950–959 (2003).

[CrossRef]

R. M. Haralick, K. Shanmugam, and I. Dinstein, “Textural features for image classification,” IEEE Trans. Syst. Man Cybern. 3(6), 610–621 (1973).

[CrossRef]

M. Hsieh and D. Tseng, “Perceptual digital watermarking for image authentication in electronic commerce,” Electron. Commerce Res. 4(1/2), 157–170 (2004).

[CrossRef]

H. Kim and H. Lee, “Invariant image watermark using zernike moments,” IEEE Trans. Circuits Syst. Video Technol. 8, 766–775 (2003).

H. Kim and H. Lee, “Invariant image watermark using zernike moments,” IEEE Trans. Circuits Syst. Video Technol. 8, 766–775 (2003).

X. Zhang, M. Lei, D. Yang, Y. Wang, and L. Ma, “Multi-scale curvature product for robust image corner detection in curvature scale space,” Pattern Recognit. Lett. 28(5), 545–554 (2007).

[CrossRef]

Y. Xin, S. Liao, and M. Pawlak, “Circularly orthogonal moments for geometrically robust image watermarking,” Pattern Recognit. 40(12), 3740–3752 (2007).

[CrossRef]

C. Y. Lin, M. Wu, J. Bloom, I. Cox, M. Miller, and Y. Lui, “Rotation, scale, and translation resilient watermarking for images,” IEEE Trans. Image Process. 10(5), 767–782 (2001).

[CrossRef]

C. Y. Lin, M. Wu, J. Bloom, I. Cox, M. Miller, and Y. Lui, “Rotation, scale, and translation resilient watermarking for images,” IEEE Trans. Image Process. 10(5), 767–782 (2001).

[CrossRef]

X. Zhang, M. Lei, D. Yang, Y. Wang, and L. Ma, “Multi-scale curvature product for robust image corner detection in curvature scale space,” Pattern Recognit. Lett. 28(5), 545–554 (2007).

[CrossRef]

F. Mokhtarian and A. Mackworth, “A theory of multiscale, curvature-based shape representation for planar curves,” IEEE Trans. Pattern Anal. Mach. Intell. 14(8), 789–805 (1992).

[CrossRef]

P. Bas, J. Chassery, and B. Macq, “Geometrically invariant watermarking using feature points,” IEEE Trans. Image Process. 11(9), 1014–1028 (2002).

[CrossRef]

K. Mikolajczyk and C. Schmid, “Scale & affine invariant interest point detectors,” Int. J. Comput. Vis. 60(1), 63–86 (2004).

[CrossRef]

C. Y. Lin, M. Wu, J. Bloom, I. Cox, M. Miller, and Y. Lui, “Rotation, scale, and translation resilient watermarking for images,” IEEE Trans. Image Process. 10(5), 767–782 (2001).

[CrossRef]

C. Schmid, R. Mohr, and C. Bauckhage, “Evaluation of interest point detectors,” Int. J. Comput. Vis. 37(2), 151–172 (2000).

[CrossRef]

F. Mokhtarian and A. Mackworth, “A theory of multiscale, curvature-based shape representation for planar curves,” IEEE Trans. Pattern Anal. Mach. Intell. 14(8), 789–805 (1992).

[CrossRef]

X. Wang, J. Wu, and P. Niu, “A new digital image watermarking algorithm resilient to desynchronization attacks,” IEEE Trans. Info. Forens. Sec. 4,655–663 (2007).

[CrossRef]

Y. Xin, S. Liao, and M. Pawlak, “Circularly orthogonal moments for geometrically robust image watermarking,” Pattern Recognit. 40(12), 3740–3752 (2007).

[CrossRef]

S. Pereira and T. Pun, “Robust template matching for affine resistant image watermarks,” IEEE Trans. Image Process. 9(6), 1123–1129 (2000).

[CrossRef]

S. Pereira and T. Pun, “Robust template matching for affine resistant image watermarks,” IEEE Trans. Image Process. 9(6), 1123–1129 (2000).

[CrossRef]

J. Ruanaidh and T. Pun, “Rotation, scale and translation invariant spread spectrum digital image watermarking,” Signal Processing 66(3), 303–317 (1998).

[CrossRef]

X. Qi and J. Qi, “A robust content-based digital image watermarking scheme,” Signal Processing 87(6), 1264–1280 (2007).

[CrossRef]

X. Qi and J. Qi, “A robust content-based digital image watermarking scheme,” Signal Processing 87(6), 1264–1280 (2007).

[CrossRef]

J. Dugelay, S. Roche, C. Rey, and G. Doerr, “Still-image watermarking robust to local geometric distortions,” IEEE Trans. Image Process. 15(9), 2831–2842 (2006).

[CrossRef]
[PubMed]

J. Dugelay, S. Roche, C. Rey, and G. Doerr, “Still-image watermarking robust to local geometric distortions,” IEEE Trans. Image Process. 15(9), 2831–2842 (2006).

[CrossRef]
[PubMed]

J. Ruanaidh and T. Pun, “Rotation, scale and translation invariant spread spectrum digital image watermarking,” Signal Processing 66(3), 303–317 (1998).

[CrossRef]

D. Zheng, J. Zhao, and A. Saddik, “Rst-invariant digital image watermarking based on log-polar mapping and phase correlation,” IEEE Trans. Circuits Syst. Video Technol. 13(8), 753–765 (2003).

[CrossRef]

K. Mikolajczyk and C. Schmid, “Scale & affine invariant interest point detectors,” Int. J. Comput. Vis. 60(1), 63–86 (2004).

[CrossRef]

C. Schmid, R. Mohr, and C. Bauckhage, “Evaluation of interest point detectors,” Int. J. Comput. Vis. 37(2), 151–172 (2000).

[CrossRef]

J. S. Seo, C. D. Chang, and D. Yoo, “Localized image watermarking based on feature points of scale-space representation,” Pattern Recognit. 37(7), 1365–1375 (2004).

[CrossRef]

R. M. Haralick, K. Shanmugam, and I. Dinstein, “Textural features for image classification,” IEEE Trans. Syst. Man Cybern. 3(6), 610–621 (1973).

[CrossRef]

C. Tang and H. Hang, “A feature-based robust digital image watermarking scheme,” IEEE Trans. Signal Process. 51(4), 950–959 (2003).

[CrossRef]

M. Alghoniemy and A. H. Tewfik, “Geometric invariance in image watermarking,” IEEE Trans. Image Process. 13(2), 145–153 (2004).

[CrossRef]
[PubMed]

M. Hsieh and D. Tseng, “Perceptual digital watermarking for image authentication in electronic commerce,” Electron. Commerce Res. 4(1/2), 157–170 (2004).

[CrossRef]

X. Wang, J. Wu, and P. Niu, “A new digital image watermarking algorithm resilient to desynchronization attacks,” IEEE Trans. Info. Forens. Sec. 4,655–663 (2007).

[CrossRef]

X. Zhang, M. Lei, D. Yang, Y. Wang, and L. Ma, “Multi-scale curvature product for robust image corner detection in curvature scale space,” Pattern Recognit. Lett. 28(5), 545–554 (2007).

[CrossRef]

B. Chen and G. W. Wornell, “Preprocessed and postprocessed quantization index modulation methods for digital watermarking,” SPIE 3971, 48–59 (2000).

[CrossRef]

X. Wang, J. Wu, and P. Niu, “A new digital image watermarking algorithm resilient to desynchronization attacks,” IEEE Trans. Info. Forens. Sec. 4,655–663 (2007).

[CrossRef]

C. Y. Lin, M. Wu, J. Bloom, I. Cox, M. Miller, and Y. Lui, “Rotation, scale, and translation resilient watermarking for images,” IEEE Trans. Image Process. 10(5), 767–782 (2001).

[CrossRef]

Y. Xin, S. Liao, and M. Pawlak, “Circularly orthogonal moments for geometrically robust image watermarking,” Pattern Recognit. 40(12), 3740–3752 (2007).

[CrossRef]

X. Zhang, M. Lei, D. Yang, Y. Wang, and L. Ma, “Multi-scale curvature product for robust image corner detection in curvature scale space,” Pattern Recognit. Lett. 28(5), 545–554 (2007).

[CrossRef]

J. S. Seo, C. D. Chang, and D. Yoo, “Localized image watermarking based on feature points of scale-space representation,” Pattern Recognit. 37(7), 1365–1375 (2004).

[CrossRef]

X. Zhang, M. Lei, D. Yang, Y. Wang, and L. Ma, “Multi-scale curvature product for robust image corner detection in curvature scale space,” Pattern Recognit. Lett. 28(5), 545–554 (2007).

[CrossRef]

D. Zheng, J. Zhao, and A. Saddik, “Rst-invariant digital image watermarking based on log-polar mapping and phase correlation,” IEEE Trans. Circuits Syst. Video Technol. 13(8), 753–765 (2003).

[CrossRef]

D. Zheng, J. Zhao, and A. Saddik, “Rst-invariant digital image watermarking based on log-polar mapping and phase correlation,” IEEE Trans. Circuits Syst. Video Technol. 13(8), 753–765 (2003).

[CrossRef]

M. Hsieh and D. Tseng, “Perceptual digital watermarking for image authentication in electronic commerce,” Electron. Commerce Res. 4(1/2), 157–170 (2004).

[CrossRef]

M. Barni, “Effectiveness of exhaustive search and template matching against watermark desynchronization,” IEEE Signal Process. Lett. 12(2), 158–161 (2005).

[CrossRef]

D. Zheng, J. Zhao, and A. Saddik, “Rst-invariant digital image watermarking based on log-polar mapping and phase correlation,” IEEE Trans. Circuits Syst. Video Technol. 13(8), 753–765 (2003).

[CrossRef]

H. Kim and H. Lee, “Invariant image watermark using zernike moments,” IEEE Trans. Circuits Syst. Video Technol. 8, 766–775 (2003).

M. Alghoniemy and A. H. Tewfik, “Geometric invariance in image watermarking,” IEEE Trans. Image Process. 13(2), 145–153 (2004).

[CrossRef]
[PubMed]

C. Y. Lin, M. Wu, J. Bloom, I. Cox, M. Miller, and Y. Lui, “Rotation, scale, and translation resilient watermarking for images,” IEEE Trans. Image Process. 10(5), 767–782 (2001).

[CrossRef]

P. Bas, J. Chassery, and B. Macq, “Geometrically invariant watermarking using feature points,” IEEE Trans. Image Process. 11(9), 1014–1028 (2002).

[CrossRef]

S. Pereira and T. Pun, “Robust template matching for affine resistant image watermarks,” IEEE Trans. Image Process. 9(6), 1123–1129 (2000).

[CrossRef]

J. Dugelay, S. Roche, C. Rey, and G. Doerr, “Still-image watermarking robust to local geometric distortions,” IEEE Trans. Image Process. 15(9), 2831–2842 (2006).

[CrossRef]
[PubMed]

X. Wang, J. Wu, and P. Niu, “A new digital image watermarking algorithm resilient to desynchronization attacks,” IEEE Trans. Info. Forens. Sec. 4,655–663 (2007).

[CrossRef]

F. Mokhtarian and A. Mackworth, “A theory of multiscale, curvature-based shape representation for planar curves,” IEEE Trans. Pattern Anal. Mach. Intell. 14(8), 789–805 (1992).

[CrossRef]

C. Tang and H. Hang, “A feature-based robust digital image watermarking scheme,” IEEE Trans. Signal Process. 51(4), 950–959 (2003).

[CrossRef]

R. M. Haralick, K. Shanmugam, and I. Dinstein, “Textural features for image classification,” IEEE Trans. Syst. Man Cybern. 3(6), 610–621 (1973).

[CrossRef]

C. Schmid, R. Mohr, and C. Bauckhage, “Evaluation of interest point detectors,” Int. J. Comput. Vis. 37(2), 151–172 (2000).

[CrossRef]

K. Mikolajczyk and C. Schmid, “Scale & affine invariant interest point detectors,” Int. J. Comput. Vis. 60(1), 63–86 (2004).

[CrossRef]

Y. Xin, S. Liao, and M. Pawlak, “Circularly orthogonal moments for geometrically robust image watermarking,” Pattern Recognit. 40(12), 3740–3752 (2007).

[CrossRef]

J. S. Seo, C. D. Chang, and D. Yoo, “Localized image watermarking based on feature points of scale-space representation,” Pattern Recognit. 37(7), 1365–1375 (2004).

[CrossRef]

X. Zhang, M. Lei, D. Yang, Y. Wang, and L. Ma, “Multi-scale curvature product for robust image corner detection in curvature scale space,” Pattern Recognit. Lett. 28(5), 545–554 (2007).

[CrossRef]

X. Qi and J. Qi, “A robust content-based digital image watermarking scheme,” Signal Processing 87(6), 1264–1280 (2007).

[CrossRef]

J. Ruanaidh and T. Pun, “Rotation, scale and translation invariant spread spectrum digital image watermarking,” Signal Processing 66(3), 303–317 (1998).

[CrossRef]

B. Chen and G. W. Wornell, “Preprocessed and postprocessed quantization index modulation methods for digital watermarking,” SPIE 3971, 48–59 (2000).

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