• DocumentCode
    1629353
  • Title

    DCT based texture watermarking using GLCM

  • Author

    Kamble, Sushila ; Agarwal, Suneeta ; Shrivastava, V.K. ; Maheshkar, Vikas

  • Author_Institution
    Motilal Nehru Nat. Inst. of Technol., Allahabad, India
  • fYear
    2010
  • Firstpage
    185
  • Lastpage
    189
  • Abstract
    We present a novel DCT technique for digital watermarking of textured images based on the concept of gray-level co-occurrence matrix (GLCM). We provide analysis to describe the behavior of the method in terms of correlation as a function of the offset for textured images. We compare our approach with another spatial and temporal domain watermarking techniques and demonstrate the potential for robust watermarking of textured images. From our extensive experiments, results indicate that our DCT approach is robust and secure against a wide range of image processing operations like JPEG compression, additive noise, cropping, scaling, and rotation. Also, the experimental results show that the proposed scheme has good imperceptibility.
  • Keywords
    discrete cosine transforms; image texture; matrix algebra; watermarking; DCT; DCT approach; GLCM; JPEG compression; additive noise; correlation function; digital texture watermarking; gray-level co-occurrence matrix; image cropping; image processing operations; image rotation; image scaling; textured images; Detectors; Discrete cosine transforms; Discrete wavelet transforms; Frequency; Image coding; Noise robustness; Protection; Spread spectrum communication; Watermarking; Wavelet domain; Digital Image Processing; Digital watermarking; Discrete Cosine Transform; GLCM; texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2010 IEEE 2nd International
  • Conference_Location
    Patiala
  • Print_ISBN
    978-1-4244-4790-9
  • Electronic_ISBN
    978-1-4244-4791-6
  • Type

    conf

  • DOI
    10.1109/IADCC.2010.5423014
  • Filename
    5423014