• DocumentCode
    2827818
  • Title

    A new blind robust image watermarking scheme in SVD-DCT composite domain

  • Author

    Li, Zhen ; Yap, Kim-Hui ; Lei, Bai-Ying

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    2757
  • Lastpage
    2760
  • Abstract
    Digital watermarking has become an important technique for copyright protection, and various watermarking schemes have been proposed. Singular Value Decomposition (SVD) has been used as a valuable transform technique for robust digital watermarking due to some superior characteristics not obtained by DCT, DFT or DWT. In this paper, we present a new robust hybrid image watermarking scheme based on SVD and DCT. After applying SVD to the cover image blocks, we perform DCT on the macro block comprised of the first singular values (SVs) of each image block. We also developed a new method to embed the watermark in the high-frequency band of the SVD-DCT block by imposing a particular relationship between some pseudo-randomly selected pairs of the DCT coefficients. Experimental results show that the proposed watermarking method performs better than state-of-the-art SVD-based methods, and is comparable with the state-of-art wavelet-based robust image watermarking method.
  • Keywords
    copyright; discrete cosine transforms; image watermarking; singular value decomposition; SVD-DCT composite domain; blind robust image watermarking scheme; copyright protection; pseudorandomly selected pairs; singular value decomposition; valuable robust digital watermarking; Conferences; Copyright protection; Discrete cosine transforms; Image processing; Robustness; Transform coding; Watermarking; Copyright Protection; Image Watermarking; SVD-DCT composite domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116241
  • Filename
    6116241