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Y. Zhang, “Blind Watermark Algorithm Based on HVS and RBF Neural Network in DWT Domain,” WSEAS Transactions on Computers, Vol. 8, No. 1, 2009, pp. 174-183.

has been cited by the following article:

• TITLE: A Dynamic Multiple Watermarking Algorithm Based on DWT and HVS

  AUTHORS: Li Zhang, Xilan Yan, Hongsong Li, Minrong Chen

  KEYWORDS: Dynamic Multiple Watermarking; JND

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.5 No.8, August 28, 2012

  ABSTRACT: In this paper, a dynamic robust multiple watermarking algorithm is proposed based on Discrete Wavelet Transform (DWT) and Human Visual System (HVS). Watermark image is transformed by Arnold transform. Original image is divided into blocks with 8 by 8 and each block is transformed by DWT. By adopting the Just Noticeable Difference (JND) of HVS and changing low frequency coefficients, binary string message can be embedded into the decomposed original image. Watermark can be extracted blindly. Experimental results have shown that the proposed watermarking has robust against many attacks such as JPEG compressing, cropping, additive noise, line removal, median filter and related attacks with sinStirMark.