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Volume 38 Issue 11
Dec.  2016
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WANG Jinwei, ZHOU Chunfei, WANG Shuiping, CHEN Beijing, SUN Xingming. Color Image Adaptive Watermarking Algorithm Using Fractional Quaternion Fourier Transform[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2832-2839. doi: 10.11999/JEIT160169
Citation: WANG Jinwei, ZHOU Chunfei, WANG Shuiping, CHEN Beijing, SUN Xingming. Color Image Adaptive Watermarking Algorithm Using Fractional Quaternion Fourier Transform[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2832-2839. doi: 10.11999/JEIT160169

Color Image Adaptive Watermarking Algorithm Using Fractional Quaternion Fourier Transform

doi: 10.11999/JEIT160169
Funds:

The National Natural Science Foundation of China (61272421, 61572258, 61232016, 61572257), The Natural Science Foundation of Jiangsu Province (BK20151530, BK20150925), The Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), The Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET)

  • Received Date: 2016-02-25
  • Rev Recd Date: 2016-07-01
  • Publish Date: 2016-11-19
  • Some existing color image adaptive watermarking algorithms do not fully utilize the color information in the adaptive process, or do not consider the holistic property of the components of a color host image. To overcome these drawbacks, this paper proposes a color image adaptive watermarking algorithm based on Fractional Quaternion Fourier Transform (FrQFT). Firstly, the texture, edge and color tone features of the blocks of the host image are extracted using the Human Vision System (HVS). After that, the embedding strength values of the blocks suitable to watermark embedding are set adaptively according to the extracted feature. Finally, the quantization index modulation and the multiple redundant embedding strategy are used to insert the watermark in the FrQFT domain with the adaptive strength. Experimental results show that the proposed algorithm is superior over the existing algorithm using Quaternion Fourier Transform (QFT) and the algorithm based on Fractional Fourier Transform (FrFT).
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