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Discrete Wavelet Transform and a Singular Value Decomposition Technique for Watermarking Based on an Adaptive Fuzzy Inference System

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초록

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.

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.

참고문헌 (14)

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  2. A. Nikolaidis, "A region-based technique for chaotic image watermarking", Proceedings of 10th European Signal Processing Conference (EUSIPCO2000), pp.1~4 (2000)
  3. J. R. Hernandez, "DCT-domain watermarking techniques for still images : detector performance analysis and a new structure", IEEE Transactions on Image Processing, 9(1), pp.55~68 (2000)
  4. R. Liu, "An SVD-based watermarking scheme for protecting rightful ownership", IEEE Transactions on Multimedia, 4(1), pp.121~128 (2002)
  5. C. Lui, "Digital image watermarking using discrete wavelet transform and singular value decomposition", IEEE Transactions on Instrumentation and Measurement, 59(11), pp.3060~3063 (2010)
  6. T. Sridevi, "Digital image watermarking using fuzzy logic approach based on DWT and SVD", International Journal of Computer Applications, 74(13), pp.16~20 (2013)
  7. A. Latif, "An adaptive digital image watermarking scheme using fuzzy logic and tabu search", Journal of Information Hiding and Multimedia Signal Processing, 4(4), pp.250~271 (2013)
  8. M. Imran, "A PCA-DWT-SVD based color image watermarking", Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp.1147~1152 (2012)
  9. G. Bhatnagar, "A new robust reference watermarking scheme based on DWT-SVD", Computer Standards & Interfaces, 31(5), pp.1002~1013 (2009)
  10. C. Lai, "An improved SVD-based watermarking scheme using human visual characteristics", Optics Communications, 284(4), pp.938~944 (2011)
  11. V. Santhi, "A hybrid block based watermarking algorithm using DWT-DCT-SVD techniques for color images", Proceedings of International Conference on Computing, Communication and Networking, pp.1~7 (2008)
  12. E. Ganic, "Robust DWT-SVD domain image watermarking: embedding data in all frequencies", Proceedings of the 2004 Workshop on Multimedia and Security, pp.166~174 (2004)
  13. C. Q. Yin, "Color image watermarking algorithm based on DWT-SVD", Proceedings of IEEE International Conference on Automation and Logistics, pp.2607~2611 (2007)
  14. H. Song, "A novel semi-fragile image watermarking scheme based on wavelet", Proceedings of IEEE International Conference on Audio Language and Image Processing (ICALIP), pp.1504~1510 (2010)

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