Robust image watermarking using local Zernike moments

Journal of Visual Communication and Image Representation

Volumn 20, Issue 6, 2009, Pages 408-419

  Singhal, Nitin ^a   Lee, Young Yoon ^a   Kim, Chang Su ^b   Lee, Sang Uk ^c  

^a SAMSUNG Electronics   (South Korea)

^b Korea University   (South Korea)

^c INMC   (South Korea)

Author keywords

Content based synchronization; Digital image watermarking; Digital right management; Feature point detection; Geometric distortions; Image normalization; Local Zernike moments; Salient region parameters

Indexed keywords

CONTENT-BASED SYNCHRONIZATION; DIGITAL IMAGE WATERMARKING; DIGITAL RIGHT MANAGEMENT; FEATURE POINT DETECTION; GEOMETRIC DISTORTIONS; IMAGE NORMALIZATION; LOCAL ZERNIKE MOMENTS; SALIENT REGION PARAMETERS;

ALGORITHMS; DECODING; DIGITAL WATERMARKING; SIGNAL PROCESSING;

WATERMARKING;

EID: 67649227070     PISSN: 10473203     EISSN: 10959076     Source Type: Journal    
DOI: 10.1016/j.jvcir.2009.04.002     Document Type: Article

References (32)

1. Y. Xin, S. Liao, M. Pawlak, A multibit geometrically robust image watermark based on Zernike moments, in: IEEE Int. Conf. Pattern Recognit., vol. 4, 2004, pp. 861-864.
2. Kim H.S., and Lee H.K. Invariant image watermark using Zernike moments. IEEE Trans. Circuits Syst. Video Technol. 13 8 (2003) 766-775
3. N. Singhal, Y.-Y. Lee, C.-S. Kim, S.-U. Lee, Robust image watermarking based on local Zernike moments, in: IEEE Int. Workshop Multimedia Signal Process., 2007, pp. 401-404.
4. P. Dong, J. Brankov, N. Galatsanos, Y. Yang, Geometric robust watermarking based on a new mesh model correction approach, in: Proc. IEEE Int. Conf. Image Process., vol. 3, 2002, pp. 493-496.
5. Lu C., Huang S., Sze C., and Liao H.Y. Cocktail watermarking for digital image protection. IEEE Trans. Multimedia 2 4 (2000) 209-224
6. Shieh J., Lou D., and Chang M. A semi-blind digital watermarking scheme based on singular value decomposition. Computer Standards & Interfaces 28 4 (2006) 428-440
7. V.Q. Pham, T. Miyaki, T. Yamasaki, K. Aizawa, Geometrically invariant object-based watermarking using SIFT feature, in: Proc. IEEE Int. Conf. Image Process., vol. 5, 2007, pp. 473-476.
8. O'Ruanaidh J., and Pun T. Rotation, scale and translation invariant spread spectrum digital image watermarking. Signal Process. 66 8 (1998) 303-317
9. Lin C.-Y., Wu M., Bloom J., Miller M., Cox I., and Lui Y.-M. Rotation, scale, and translation resilient public watermarking for images. IEEE Trans. Image Process. 10 5 (2001) 767-782
10. Pereira S., and Pun T. Robust template matching for affine resistant image watermarks. IEEE Trans. Image Process. 9 6 (2000) 1123-1129
11. M. Kutter, S.K. Bhattacharjee, T. Ebrahimi, Towards second generation watermarking schemes, in: Proc. IEEE Int. Conf. Image Process., vol. 1, 1999, pp. 320-323.
12. Alghoniemy M., and Tewfik A.H. Geometric invariance in image watermarking. IEEE Trans. Image Process. 13 2 (2004) 145-153
13. Simitopoulos D., Koutsonanos D.E., and Strintzis M.G. Robust image watermarking based on generalized Radon transformations. IEEE Trans. Circuits Syst. Video Technol. 13 8 (2003) 732-745
14. M. Alghoniemy, A.H. Tewfik, Geometric distortion correction through image normalization, in: Proc. IEEE Int. Conf. Multimedia and Expo., vol. 3, 2000, pp. 1291-1294.
15. Bas P., Chassery J.-M., and Macq B. Geometrically invariant watermarking using feature points. IEEE Trans. Image Process. 11 9 (2002) 1014-1028
16. J. Dittmann, T. Fiebig, R. Steinmetz, A new approach for transformation invariant image and video watermarking in the spatial domain: SSP-self spanning patterns, in: Proc. IST/SPIE Electronic Imaging, 2000, pp. 176-185.
17. Tang C.-W., and Hang H.-M. A feature-based robust digital image watermarking scheme. IEEE Trans. Signal Process. 51 4 (2003) 950-959
18. Seo J.S., and Yoo C.D. Image watermarking based on invariant regions of scale-space representation. IEEE Trans. Signal Process. 54 4 (2006) 1537-1549
19. Mikolajczyk K., and Schmid C. Scale and affine invariant interest point detector. Int. J. Comput. Vis. 60 1 (2004) 63-86
20. F. Petitcolas, R.J. Anderson, M.G. Kuh, Attacks on copyright marking systems, in: Proc. Int. Workshop Information Hiding, vol. 1525, 1998, pp. 218-238.
21. Petitcolas F. Watermarking schemes evaluation. IEEE Signal Process. Magazine 17 5 (2000) 58-64
22. Zernike F. Beugungstheorie des Schneidenverfahrens und seiner verbesserten Form, der Phasenkontrastmethode. Physica 1 6 (1934) 689-704
23. Teague M.R. Image analysis via the general theory of moments. J. Optical Soc. Am. 69 (1979) 1468
24. Zhenjiang M. Zernike moment-based image analysis and its application. Pattern Recogn. Lett. 21 2 (2000) 169-177
25. Papakostas G.A., Boutalis Y.S., Karras D.A., and Mertzios B.G. A new class of Zernike moments for computer vision applications. Inf. Sci. 177 13 (2007) 2802-2819
26. C. Harris, M. Stephens, A combined corner and edge detector, in: Proc. Alvey Vision Conf., 1988, pp. 147-151.
27. Chen B., and Wornell G.W. Quantization index modulation methods: a class of provably good methods for digital watermarking and information embedding. IEEE Trans. Information Theory 47 4 (2001) 1423-1443
28. Lin S., and Costello D. Error Control Coding: Fundamental and Applications (2004), Prentice-Hall
29. B.-S. Kim, J.-G. Choi, K.-H. Park, Image normalization using invariant centroid for RST invariant digital image watermarking, in: First Int. Workshop Digital Watermarking, vol. 2613, 2003, pp. 202-210.
30. X. Yang, P. Xue, Q. Tian, Invariant salient region selection and scale normalization of image, in: IEEE Int. Workshop Multimedia Signal Process., 2005, pp. 1-4.
31. Hu M.K. Visual pattern recognition by moment invariants. IRE Trans. Information Theory 8 (1962) 179-187
32. Corel Stock Photo Library. Available from: .