Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Discrete Wavelet Transform and a Singular Value Decomposition Technique for Watermarking Based on an Adaptive Fuzzy Inference System

  • 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 : 2015.04.13
  • Accepted : 2015.08.05
  • Published : 2017.04.30
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Abstract

A watermark is a signal added to the original signal in order to preserve the copyright of the owner of the digital content. The basic challenge for designing a watermarking system is a dilemma between transparency and robustness. If we want a higher rate of transparency, there has to be a compromise in terms of its robustness and vice versa. Also, until now, watermarking is generalized, resulting in the need for a specialized algorithm to work for a specialized image processing application domain. Our proposed technique takes into consideration the image characteristics for watermark insertion and it optimizes transparency and robustness. It achieved a 99.98% retrieval efficiency for an image blurring attack and counterfeits other attacks. Our proposed technique counterfeits almost all of the image processing attacks.

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References

  1. M. Kutter, F. D. Jordan, and F. Bossen, "Digital signature of color images using amplitude modulation," in Proceedings of SPIE 3022: Storage and Retrieval for Image and Video Databases V. Bellingham, WA: International Society for Optics and Photonics, 1997, pp. 518-526.
  2. A. Nikolaidis and I. Pitas, "A region-based technique for chaotic image watermarking," in Proceedings of 10th European Signal Processing Conference (EUSIPCO2000), Tampere, Finland, 2000, pp. 1-4.
  3. 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
  4. 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
  5. C. Lui 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
  6. T. Sridevi and S. S. Fatima, "Digital image watermarking using fuzzy logic approach based on DWT and SVD," International Journal of Computer Applications, vol. 74, no. 13, pp. 16-20, 2013. https://doi.org/10.5120/12945-0014
  7. A. Latif, "An adaptive digital image watermarking scheme using fuzzy logic and tabu search," Journal of Information Hiding and Multimedia Signal Processing, vol. 4, no. 4, pp. 250-271, 2013.
  8. M. Imran and A. Ghafoor, "A PCA-DWT-SVD based color image watermarking," in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, Seoul, Korea, 2012, pp. 1147-1152.
  9. G. Bhatnagar and B. Raman, "A new robust reference watermarking scheme based on DWT-SVD," Computer Standards & Interfaces, vol. 31, no. 5, pp. 1002-1013, 2009. https://doi.org/10.1016/j.csi.2008.09.031
  10. C. Lai, "An improved SVD-based watermarking scheme using human visual characteristics," Optics Communications, vol. 284, no. 4, pp. 938-944, 2011. https://doi.org/10.1016/j.optcom.2010.10.047
  11. V. Santhi, N. Rekha, and S. Tharini, "A hybrid block based watermarking algorithm using DWT-DCT-SVD techniques for color images," in Proceedings of International Conference on Computing, Communication and Networking, Karur, India, 2008, pp. 1-7.
  12. 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.
  13. C. Q. Yin, L. Li, A. Q. Lv, and L. Qu, "Color image watermarking algorithm based on DWT-SVD," in Proceedings of IEEE International Conference on Automation and Logistics, Jinan, China, 2007, pp. 2607-2611.
  14. H. Song, Z. Qiu, and J. Gu, "A novel semi-fragile image watermarking scheme based on wavelet," in Proceedings of IEEE International Conference on Audio Language and Image Processing (ICALIP), Shanghai, China, 2010, pp. 1504-1510.