International Journal of Fuzzy Logic and Intelligent Systems

  • 제7권2호
  • /
  • Pages.143-147
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  • 2007
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Robust Digital Image Watermarking Algorithm Using RBF Neural Networks in DWT domain

  • Piao, Cheng-Ri (Department of Information Engineering & NPT Center, Myongji University) ;
  • Guan, Qiang (Department of Information Engineering & NPT Center, Myongji University) ;
  • Choi, Jun-Rim (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Han, Seung-Soo (Department of Information Engineering & NPT Center, Myongji University)
  • 발행 : 2007.06.01
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초록

This paper proposes a new watermarking scheme in which a logo watermark is embedded into the discrete wavelet transform (DWT) domain of the original image using exact radial basis function neural networks (RBF). RBF will learn the characteristics of the image, and then watermark is embedded and extracted by the trained RBF. A watermark is added to the coefficients at the low frequency band of the DWT of an image and a watermark is embedded into the DWT domain using the trained RBF. The trained RBF also used in watermark extracting process. Experimental results show that the proposed method has good imperceptibility and high robustness to common image processing attacks.

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참고문헌

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피인용 문헌

  1. A robust image watermarking scheme using Arnold transform and BP neural network pp.1433-3058, 2017, https://doi.org/10.1007/s00521-016-2788-4