한국정보과학회논문지:정보통신 (Journal of KIISE:Information Networking)

한국정보과학회 (Korean Institute of Information Scientists and Engineers)
권호 표지

불변의 무게중심을 이용한 영상 정규화에 기반한 기하학적 공격에 강인한 워터마킹

Image Watermarking Robust to Geometrical Attacks based on Normalization using Invariant Centroid

  • 발행 : 2004.06.01
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⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 기존의 영상 정규화에 기반 한 워터마킹을 개선하여 잘림을 동반한 기하학적 공격에 강인한 워터마킹 기법을 제안한다. 영상 정규화의 기준이 되는 무게 중심은 영상의 전체 화소 값을 사용하므로 잘림이 발생한 경우 무게 중심이 달라지고 이로 인해 중심 모멘트 값과 정규 영상 또한 달라지게 된다. 따라서, 본 논문에서는 영상이 잘림에 의해 훼손되더라도 항상 일정한 위치에 나타나는 불변의 무게중심을 구하여 이를 이용하여 제한된 영역을 구하고 이 영역 내부의 화소 정보만을 사용하여 중심 모멘트와 정규 영상을 구한다. 이렇게 구해진 정규 영상은 잘림을 동반한 기하학적 공격이 발생하더라도 원 영상과 동일한 형태의 정규영상을 얻을 수 있으며 정규 영상을 이산 퓨리에 변환 (Discrete Fourier Transform: DFT) 하여 워터마크를 삽입함으로써 기하학적 공격에 강인한 워터마킹 기법이 된다.

This paper proposes a digital image watermarking scheme, which is robust to geometrical attacks. The method improves image normalization-based watermarking (INW) technique that doesn't effectively deal with geometrical attacks with cropping. Image normalization is based on the moments of the image, however, in general, geometrical attacks bring the image boundary cropping and the moments are not preserved original ones. Thereafter the normalized images of before and after are not same form, i.e., the synchronization is lost. To solve the cropping problem of INW, Invariant Centroid (IC) is proposed in this paper. IC is a gravity center of a central area on a gray scale image that is invariant although an image is geometrically attacked and the only central area, which has less cropping possibility by geometrical attacks, is used for normalization. Experimental results show that the IC-based method is especially robust to geometrical attack with cropping.

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참고문헌

  1. R. G. van Schyndel, A. Z. Tirkel, and C. F. Osborne 'A digital watermark,' Proceedings of ICIP, vol. 2, pp. 86-89, 1994 https://doi.org/10.1109/ICIP.1994.413536
  2. I. J. Cox, J. Kilian, F. T. Leighton, and T. Shamoon 'Secure spread spectrum watermarking for multimedia,' IEEE Transactions on Image Processing, vol. 6, pp. 1673-1687, 1997 https://doi.org/10.1109/83.650120
  3. C.-T. Hsu and J.-L. Wu, 'Hidden digital watermark in images,' IEEE Transactions on Image Processing, vol. 8, pp. 58-68, 1999 https://doi.org/10.1109/83.736686
  4. S. Burgett, E. Koch, and J. Zhao, 'Copyright labeling of digitized image data,' IEEE Communication Magazine, vol. 36, pp. 94-100, 1998 https://doi.org/10.1109/35.663333
  5. D. Kundur and D. Hatzinakos, 'Towards a telltale watermarking technique for tamper proofing,' Proceedings of ICIP, vol. 2, 1998 https://doi.org/10.1109/ICIP.1998.723403
  6. C.-Y. Lin, M. Wu, and I. J. Cox, 'Rotation, scale, and translation resilient watermarking for images,' IEEE Transaction on Image Processing, vol. 10, no. 5, pp. 767-782, May, 2001 https://doi.org/10.1109/83.918569
  7. J. J. K. O'Ruanaidh and T. Pun, 'Rotation, scale and translation invariant digital image watermarking,' Proceedings of ICIP, vol. 1, pp. 536-539, 1997 https://doi.org/10.1109/ICIP.1997.647968
  8. M. Alghoniemy and A. H. Tewfik, 'Geometric distortion correction through image normalization,' Proceedings of ICME, vol. 3, pp. 1291-1294, 2000 https://doi.org/10.1109/ICME.2000.871003
  9. S. Pereira and T. Pun, 'Robust template matching for affine resistant image watermarks,' IEEE Transactions on Image Processing, vol. 9, pp. 1123-1129, 2000 https://doi.org/10.1109/83.846253
  10. S. Pereira, J. J. K. O'Ruanaidh, F. Deguillaume, G. Csurka, and T. Pun 'Template based recovery of Fourier-based watermarks using log-polar and log-log maps,' Proceedings of ICMCS, vol. 1, pp. 870-874, 1999 https://doi.org/10.1109/MMCS.1999.779316
  11. S.-C. Pei and C.-. Lin, 'Image normalization for pattern recognition,' Image and Vision Computing, vol. 13, no. 10, pp. 711-723, 1995 https://doi.org/10.1016/0262-8856(95)98753-G
  12. V. Solachidis and I. Pitas, 'Circularly symmetric watermark embedding in 2-D DFT domain,' IEEE Transactions on Image Processing, vol. 10, pp. 1741-1753, 2000 https://doi.org/10.1109/83.967401
  13. M. Barni, F. Bartolini, V. Cappellini, and A. Piva, 'A DCT-domain system for robust image watermarking,' Signal processing, vol. 66, pp. 357-372, 1998 https://doi.org/10.1016/S0165-1684(98)00015-2
  14. A. G. Bors and I. Pitas, 'Image watermarking using DCT domain constraints,' Proceedings of ICIP, vol. 3, pp. 231-234, 1996 https://doi.org/10.1109/ICIP.1996.560426
  15. D. Kundur and D. Hatzinakos, 'A robust digital image watermarking method using wavelet-band function,' Proceedings of ICIP, vol. 1, pp. 544-547, 1997 https://doi.org/10.1109/ICIP.1997.647970
  16. Y.-S. Kim, O.-H. Kwon, R.-H. Park, 'Wavelet based watermarking method for digital images using the human visual system,' Electronic Letters, vol. 35, pp. 466-468, 1999 https://doi.org/10.1049/el:19990327
  17. M. Barni, F. Bartolini, and A. Piva, 'Improved wavelet-based watermarking through pixel-wise masking,' IEEE Transactions on Image Processing, vol. 10, pp. 783-791, 2001 https://doi.org/10.1109/83.918570