• DocumentCode
    3109065
  • Title

    Effective Watermarking of Digital Audio and Image Using Matlab Technique

  • Author

    Subbarayan, Sadasivam ; Ramanathan, S. Karthick

  • Author_Institution
    INTI Univ. Coll., Fac. of Eng. & Technol., Laureate Int. Univ., Nilai, Malaysia
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    317
  • Lastpage
    319
  • Abstract
    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. In our proposal, for Audio Watermarking, a Watermark is encrypted using RSA Algorithm and is embedded on the audio file using LSB technique. LSB technique is an old technique which is not very robust against attacks. Here, in audio watermarking we have embedded the encrypted watermark on the audio file, due to which removal of the watermark becomes least probable. This would give the technique a very high robustness. In the retrieval, the embedded watermark is retrieved and then decrypted. This method combines the robustness of Transform domain and simplicity of spatial domain methods. For image Watermarking, DWT technique is used. DWT technique is used in Image watermarking. Here, we have embedded the watermark in the image as a pseudo-noise sequence. This gives a remarkable security to the image file as only if the exact watermark is known can the embedded watermark be removed from the watermarked image.
  • Keywords
    copyright; discrete wavelet transforms; mathematics computing; public key cryptography; watermarking; DWT technique; LSB technique; Matlab technique; RSA Algorithm; digital audio watermarking; embedded encrypted watermark; hidden copyright notices; image file security; image watermarking; pseudo-noise sequence; spatial domain methods; transform domain; Cryptography; Data mining; Discrete wavelet transforms; Educational institutions; Machine vision; Pixel; Protection; Public key; Robustness; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision, 2009. ICMV '09. Second International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-0-7695-3944-7
  • Electronic_ISBN
    978-1-4244-5645-1
  • Type

    conf

  • DOI
    10.1109/ICMV.2009.33
  • Filename
    5381136