• DocumentCode
    405211
  • Title

    Perceptual improvement of robust DCT-domain watermarking through wavelets based image fusion

  • Author

    Arnia, Fitri

  • Author_Institution
    Dept. of Electr. Eng., Syiah Kuala Univ., Banda Aceh, Indonesia
  • Volume
    2
  • fYear
    2003
  • fDate
    21-24 Sept. 2003
  • Firstpage
    505
  • Abstract
    In this paper, to improve perceptual quality of a robust discrete cosine transform (DCT)-domain watermarking scheme, a wavelet based image fusion is proposed instead of spatial masking techniques. The robust watermarking is achieved by inserting watermark sequences in the low frequency DCT coefficients of a host image. Then, the host and the watermarked image are decomposed using a two-level discrete wavelets transform (DWT). The image fusion is done by means of replacing the approximate and detail coefficients of the watermarked image with the new coefficients that obtained by applying a certain rule. Simulations with common attacks, such as JPEG compression, filtering, rescaling and noise addition, confirmed that the proposed method can significantly improve the perceptual quality of a watermarked image while maintaining the robustness.
  • Keywords
    data compression; discrete cosine transforms; discrete wavelet transforms; image coding; image sequences; low-pass filters; median filters; transform coding; watermarking; DCT-domain watermarking; JPEG compression; discrete cosine transform; discrete wavelets transform; filtering; host image; image fusion; image perceptual quality; noise addition; rescaling; watermark sequences; Computational efficiency; Discrete Fourier transforms; Discrete cosine transforms; Discrete wavelet transforms; Filtering; Frequency; Image fusion; Immune system; Robustness; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2003. APCC 2003. The 9th Asia-Pacific Conference on
  • Print_ISBN
    0-7803-8114-9
  • Type

    conf

  • DOI
    10.1109/APCC.2003.1274409
  • Filename
    1274409