• DocumentCode
    1970977
  • Title

    The Digital Image Watermarking Algorithm Based on Dopplerlet Transform

  • Author

    Deng Minghui ; Zhou Xiuli

  • Author_Institution
    Dept. of Eng., Northeast Agric. Univ., Harbin, China
  • fYear
    2010
  • fDate
    22-23 June 2010
  • Firstpage
    428
  • Lastpage
    431
  • Abstract
    In this paper, a robust image watermarking method in two-dimensional space/spatial-frequency distributions domain is proposed which is robust against geometric distortion. This watermarking is detected by a linear frequency change. The Doppler let transformation is used to detect the watermark. The chirp signals are used as watermarks and this type of signals is resistant to all stationary filtering methods and exhibits geometrical symmetry. In the two-dimensional Radon-Wigner transformation domain, the chirp signals used as watermarks change only its position in space/spatial-frequency distribution, after applying linear geometrical attack, such as scale rotation and cropping. But the two-dimensional Radon-Wigner transformation needs too much difficult computing. So the image is put into a series of 1D signals by choosing scalable local time windows. The watermark embedded in the Doppler let transformation domain. The watermark thus generated is invisible and performs well in StirMark test and is robust to geometrical attacks. Compared with other watermarking algorithms, this algorithm is more robust, especially against geometric distortion, while having excellent frequency properties.
  • Keywords
    Fourier transforms; filtering theory; watermarking; StirMark test; chirp signal; digital image watermarking algorithm; dopplerlet transform; filtering method; geometric distortion; linear frequency; space frequency distribution; two-dimensional spatial frequency distribution domain; Chirp; Robustness; Signal processing algorithms; Time frequency analysis; Watermarking; Wavelet transforms; Digital watermarking; Geometrical attack; dopplerlet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-6640-5
  • Electronic_ISBN
    978-1-4244-6641-2
  • Type

    conf

  • DOI
    10.1109/ICICCI.2010.113
  • Filename
    5565943