Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

A Novel DWT-SVD Canny-Based Watermarking Using a Modified Torus Technique

  • Lalani, Salima (Dept. of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology) ;
  • Doye, D.D. (Dept. of Electronics and Telecommunication Engineering, Shri Guru Gobind Singhji Institute of Engineering & Technology)
  • Received : 2015.01.14
  • Accepted : 2015.08.05
  • Published : 2016.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Today's modern world requires a digital watermarking technique that takes the redundancy of an image into consideration for embedding a watermark. The novel algorithm used in this paper takes into consideration the redundancies of spatial domain and wavelet domain for embedding a watermark. Also, the cryptography-based secret key makes the algorithm difficult to hack and help protect ownership. Watermarking is blind, as it does not require the original image. Few coefficient matrices and secret keys are essential to retrieve the original watermark, which makes it redundant to various intentional attacks. The proposed technique resolves the challenge of optimizing transparency and robustness using a Canny-based edge detector technique. Improvements in the transparency of the cover image can be seen in the computed PSNR value, which is 44.20 dB.

Keywords

References

  1. C. C. Lai and C. C. Tsai, "Digital image watermarking using discrete wavelet transform and singular value decomposition," IEEE Transactions on Instrumentation and Measurement, vol. 59, no. 11, pp. 3060-3063, 2010. https://doi.org/10.1109/TIM.2010.2066770
  2. R. Liu and T. Tan, "An SVD-based watermarking scheme for protecting rightful ownership," IEEE Transactions on Multimedia, vol. 4, no. 1, pp. 121-128, 2002. https://doi.org/10.1109/6046.985560
  3. M. Imran and A. Ghafoor, "A PCA-DWT-SVD based color image watermarking," in Proceedings of 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Seoul, Korea, 2012, pp. 1147-1152.
  4. G. R. N. Kumari, S. Maruthuperumal, and V. Vijayakumar, "Hierarchical-edge based torus automorphism for digital watermarking," International Journal of Science, Engineering and Technology Research, vol. 2, no. 2, pp. 390-395, 2013. https://doi.org/10.15623/ijret.2013.0213073
  5. H. Elazhary, "A fast, blind, transparent, and robust image watermarking algorithm with extended torus automorphism permutation," International Journal of Computer Applications, vol. 32, no. 4, pp. 34-41, 2011.
  6. E. Ganic and A. M. Eskicioglu, "Robust DWT-SVD domain image watermarking: embedding data in all frequencies," in Proceedings of the 2004 Workshop on Multimedia and Security, Magdeburg, Germany, 2004, pp. 166-174.
  7. J. R. Hernandez, M. Amado, and F. Perez-Gonzalez, "DCT-domain watermarking techniques for still images: detector performance analysis and a new structure," IEEE Transactions on Image Processing, vol. 9, no. 1, pp. 55-68, 2000. https://doi.org/10.1109/83.817598
  8. C. Q. Yin, L. Li, A. Q. Lv, and L. Qu, "Color image watermarking algorithm based on DWT-SVD," in Proceedings of 2007 IEEE International Conference on Automation and Logistics, Jinan, China, 2007, pp. 2607-2611.
  9. H. Song, Z. Qiu, and J. Gu, "A novel semi-fragile image watermarking scheme based on wavelet," in Proceedings of 2010 International Conference on Audio Language and Image Processing (ICALIP), Shanghai, China, 2010, pp. 1504-1510.
  10. S. G. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674-693, 1989. https://doi.org/10.1109/34.192463
  11. N. Nikolaidis and I. Pitas, "Copyright protection of images using robust digital signatures," in Proceedings of 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-96), Atlanta, GA, 1996, pp. 2168-2171.
  12. L. Qiao and K. Nahrstedt, "Watermarking schemes and protocols for protecting rightful ownership and customer's rights," Journal of Visual Communication and Image Representation, vol. 9, no. 3, pp. 194-210, 1998. https://doi.org/10.1006/jvci.1998.0391
  13. J. Zhao, E. Koch, and C. Luo, "In business today and tomorrow," Communications of the ACM, vol. 41, no. 7, pp. 67-72, 1998.
  14. G. H. Golub and C. Reinsch, "Singular value decomposition and least squares solutions," Numerische Mathematik, vol. 14, no. 5, pp. 403-420, 1970. https://doi.org/10.1007/BF02163027
  15. C. T. Hsu and J. L. Wu, "Multiresolution watermarking for digital images," IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol. 45, no. 8, pp. 1097-1101, 1998. https://doi.org/10.1109/82.718818