• DocumentCode
    2484333
  • Title

    Digital Image Watermarking by Using Discrete Wavelet Transform and Discrete Cosine Transform and Comparison Based on PSNR

  • Author

    Dubolia, Rakhi ; Singh, Roop ; Bhadoria, Sarita Singh ; Gupta, Rekha

  • Author_Institution
    Electron. Dept., Madhav Inst. of Technol. & Sci., Gwalior, India
  • fYear
    2011
  • fDate
    3-5 June 2011
  • Firstpage
    593
  • Lastpage
    596
  • Abstract
    Digital watermarking is a technique which allows an individual to add hidden copyright notices or other verification messages to digital audio, video, or image signals and documents. Watermarking can be done by using least significant bit (LSB), singular value decomposition (SVD), Discrete Fourier Transform (DFT), Discrete cosine transform (DCT) and Discrete wavelet transform (DWT) techniques. In this paper Discrete cosine transform (DCT) and Discrete wavelet transform (DWT) are used for embedding and extraction of watermark. DWT and DCT are compared with respect to peak signal to noise ratio (PSNR) at a different threshold values. DWT gives better Image quality then DCT.
  • Keywords
    discrete Fourier transforms; discrete cosine transforms; discrete wavelet transforms; image watermarking; singular value decomposition; PSNR; digital audio; digital image watermarking; discrete Fourier transform; discrete cosine transform; discrete wavelet transform; image quality; image signal; least significant bit; peak signal to noise ratio; singular value decomposition; verification message; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Image quality; PSNR; Watermarking; DCT; DWT; Digital watermarking; PSNR; Thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2011 International Conference on
  • Conference_Location
    Katra, Jammu
  • Print_ISBN
    978-1-4577-0543-4
  • Electronic_ISBN
    978-0-7695-4437-3
  • Type

    conf

  • DOI
    10.1109/CSNT.2011.127
  • Filename
    5966517