• DocumentCode
    3251487
  • Title

    Authentication of images through non convoluted DCT (AINCDCT)

  • Author

    Sengupta, Madhumita ; Mandal, J.K.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Kalyani, Nadia, India
  • fYear
    2011
  • fDate
    26-28 Dec. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper a DCT based gray scale image authentication technique in frequency domain, termed as AINCDCT has been proposed. The cover image transformed into the spectral domain through 2 × 2 mask in row major order using nonconventional DCT, resulting corresponding frequency components. Higher frequency components having less energy, replaced by secret bits using secret key and a hash function. Reverse procedure is followed during decryption. Experimental results obtained compared with the existing authentication techniques Luo et al and WTSIC in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Image Fidelity (IF) which show better performances in AINCDCT.
  • Keywords
    discrete cosine transforms; image coding; mean square error methods; steganography; AINCDCT; IF; MSE; PSNR; frequency components; frequency domain; gray scale image authentication technique; hash function; image fidelity; image transform; mean square error; non convoluted DCT; peak signal to noise ratio; secret key; spectral domain; Authentication; Discrete cosine transforms; Equations; Frequency domain analysis; Gold; PSNR; Payloads; Authentication; Discrete Cosine Transformation (DCT); Image Fidelity (IF); Mean Square Error (MSE); Peak Signal to Noise Ratio (PSNR); stego-image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication and Industrial Application (ICCIA), 2011 International Conference on
  • Conference_Location
    Kolkata, West Bengal
  • Print_ISBN
    978-1-4577-1915-8
  • Type

    conf

  • DOI
    10.1109/ICCIndA.2011.6146672
  • Filename
    6146672