• DocumentCode
    738260
  • Title

    Colour spaces effects on improved discrete wavelet transform-based digital image watermarking using Arnold transform map

  • Author

    Khalili, Mehdi ; Asatryan, David

  • Author_Institution
    Inst. for Inf. & Autom. Problems, Yerevan, Armenia
  • Volume
    7
  • Issue
    3
  • fYear
    2013
  • fDate
    5/1/2013 12:00:00 AM
  • Firstpage
    177
  • Lastpage
    187
  • Abstract
    The most digital image watermarking algorithms have nearly always been realised in red, green and blue (RGB) colour space. In this study, a secure, robust and imperceptible CDMA image watermarking scheme which uses discrete wavelet transform is proposed and tested in eight colour spaces RGB, YCbCr, JPEG-YCbCr, YIQ, YUV, hue, saturation, intensity, hue, saturation, value and CIELab to determine which colour space is more effective in watermarking algorithms based on correlation techniques and provides a result which does not differ immeasurably from the original with respect to imperceptibility and robustness. In the proposed scheme, a scrambled binary image by Arnold transform map, after encryption, is embedded into sub-images of the first channel wavelet decomposition of intended colour space using block processing technique. The experimental results show that the proposed approach provides extra imperceptibility, security and robustness against JPEG compression and different noise attacks compared to the similar proposed methods in earlier works.
  • Keywords
    code division multiple access; correlation methods; cryptography; data compression; discrete wavelet transforms; image colour analysis; image watermarking; Arnold transform map; CIELab; JPEG compression; JPEG-YCbCr; RGB colour space; YIQ; YUV; block processing technique; colour spaces effects; correlation techniques; digital image watermarking algorithms; encryption; first channel wavelet decomposition; hue; imperceptible CDMA image watermarking scheme; improved discrete wavelet transform; noise attacks; red-green-blue colour space; scrambled binary image;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2012.0380
  • Filename
    6547850