• DocumentCode
    117961
  • Title

    Chaotic map based steganography of gray scale images in wavelet domain

  • Author

    Garg, Shelly ; Mathur, Manisha

  • Author_Institution
    Dept. of Electron. & Commun., Delhi Technol. Univ., New Delhi, India
  • fYear
    2014
  • fDate
    20-21 Feb. 2014
  • Firstpage
    689
  • Lastpage
    694
  • Abstract
    In this study, we proposed a method of hiding the stego image in cover image by using a technique called fractional fourier transform with wavelet coefficients. Application of steganography is internet/web security. To maintain higher security Arnold transform is performed on host image with key, key is only known to a receiver/sender. For embedding, perform a fractional Fourier transform of cover image and secret image. Then apply DWT on both images. Cover image and secret image will added by using a technique called alpha blending which can add foreground with background color and wavelet coefficients of both images. Stego image will be extracted by applying IDWT (Inverse Discrete Wavelet Transform). For extracting, cover image will subtracted from stego image by using alpha blending. Secret image will be produced. By considering different aspects we have investigated the results of our scheme. This proposed method provides higher security, robustness against different attacks, good feasibility.
  • Keywords
    Fourier transforms; discrete wavelet transforms; image coding; steganography; Arnold transform; IDWT; Internet security; Web security; alpha blending; chaotic map based steganography; cover image; fractional Fourier transform; gray scale images; inverse discrete wavelet transform; secret image; stego image hiding; wavelet domain; Discrete wavelet transforms; Fourier transforms; Robustness; Security; Signal processing; Arnold transform; Steganography; alpha blending; scrambling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Integrated Networks (SPIN), 2014 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-2865-1
  • Type

    conf

  • DOI
    10.1109/SPIN.2014.6777043
  • Filename
    6777043