• DocumentCode
    3095982
  • Title

    Robust Blind Digital Image Watermarking Using DWT and Dual Encryption Technique

  • Author

    Kalra, Gursharanjeet Singh ; Talwar, Rajneesh ; Sadawarti, Harsh

  • Author_Institution
    Lovely Prof. Univ., Delhi, India
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    225
  • Lastpage
    230
  • Abstract
    Piracy in the presence of internet and computers proves to be a biggest jolt to the concerned industry. To reduce the piracy and duplicity of the images, digital watermarking technique is having an edge over the other available techniques. In this paper, a blind digital watermarking algorithm is presented which is robust enough to resist the watermark against the attacks. The algorithm exploits the random sequence generated by Arnold and Chaos transformations. Discrete wavelet transformation of third level decomposition is used to convert the image into its frequency domain. The binary watermark is embedded into its HL3 domain. The evaluation of the algorithm is calculated in terms of peak signal to noise ratio and non correlation. The results prove that the algorithm is robust enough to handle the attacks like JPEG, filtering, and different types of noise attacks.
  • Keywords
    cryptography; discrete wavelet transforms; image watermarking; random sequences; Arnold transformation; Chaos transformation; DWT; HL3 domain; Internet; binary watermark; computer piracy; discrete wavelet transformation; dual encryption technique; frequency domain; image duplicity; image piracy; random sequence; robust blind digital image watermarking; signal to noise ratio; third level decomposition; Discrete wavelet transforms; Frequency domain analysis; PSNR; Robustness; Watermarking; Blind; DWT; Frequency domain Robust; Image; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2011 Third International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4577-0975-3
  • Electronic_ISBN
    978-0-7695-4482-3
  • Type

    conf

  • DOI
    10.1109/CICSyN.2011.56
  • Filename
    6005710