JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2018, Vol. 48 ›› Issue (3): 25-33.doi: 10.6040/j.issn.1672-3961.0.2017.408

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Multipurpose zero watermarking algorithm for color image based on SVD and DCNN

ZHAO Yanxia1,2, WANG Xizhao1,3*   

  1. 1. College of Management, Hebei University, Baoding 071002, Hebei, China;
    2. College of Information &
    Technology, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China;
    3. College of Computer Science &
    Software Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China
  • Received:2017-05-17 Online:2018-06-20 Published:2017-05-17

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Abstract: A multipurpose zero watermarking algorithm for color image based on SVD(singular value decomposition)and DCNN(deep convolutional neural network)were proposed for the copyright protection and tamper location of color image. The original RGB color image was transformed into YCbCr color image. The Y channel, Cb channel and Cr channel were transformed by DWT(discrete wavelet transform), some matrices were got through decomposing the coefficient matrices by SVD and got the inputs matrices of DCNN. The information matrix of original image was got from the inputs matrix of output layer of DCNN and was used to generate zero robust watermarking image. The information matrix was got from the coefficient matrix of low frequency subband through the DWT of Y channel and was used to generate the zero semi-fragile watermarking image. The experimental results showed that the algorithm was not only efficient but also had good resistance to the strong common attacks.

Key words: tamper location, singular value decomposition, multipurpose zero watermarking, discrete wavelet transform, copyright protection, deep convolutional neural network

CLC Number: 

  • TP391
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