• DocumentCode
    2802881
  • Title

    A Novel Watermarking Algorithm Based on Feature Points and SVD

  • Author

    Wang, Chengxi ; Du, Ning ; Qi, Miao ; Zhang, Yinan ; Ma, Zhiqiang

  • Author_Institution
    Comput. Sch., Northeast Normal Univ., Changchun, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to protect the copyright of digital productions, a novel watermarking algorithm based on feature points and singular value decomposition (SVD) is presented. By introducing the SIFT´s key points matching and geometric distortion estimation, the attacked watermarked image can be corrected and the watermark synchronization is realized. In this way, the feature regions detected by the Harris corner detector, which are used for information hiding, can be correctly detected even after signal processing and geometric attacks. The characteristic of U matrix in the result of SVD is finally applied for watermark embedding. The application of the proposed method makes the watermark capable of transparent hiding. Simulation results show that our method performs better than traditional methods under different attacks.
  • Keywords
    copy protection; image coding; matrix algebra; object detection; singular value decomposition; watermarking; Harris corner detector; SVD; U matrix; copyright protection; feature points; image watermarking algorithm; information hiding; signal processing; singular value decomposition; watermark synchronization; Computer vision; Degradation; Detectors; Feature extraction; Production; Protection; Robustness; Signal processing algorithms; Singular value decomposition; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5362523
  • Filename
    5362523