• DocumentCode
    3275954
  • Title

    Secure image steganography based on Slantlet transform

  • Author

    Mutt, S.K. ; Kumar, Sushil

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Delhi, Delhi, India
  • fYear
    2009
  • fDate
    14-15 Dec. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper we propose a steganography technique based on Stantlet transform and T-codes. The Stantlet transform are wavelet-like transforms that provides better time localization and signal compression than the conventional discrete cosine transforms (DCT) and discrete Haar-wavelet transforms. T-codes are used for better embedding capacity and decoding efficiency. The proposed method first encodes the message using best T-codes. We then obtain four sub-bands HH, HL, LH, and LL from cover image by applying Stantlet transforms to it. The encoded message is embedded in high frequency subbands HH, HL and LH based on 2 to 3 LSB method. The algorithm is compared with Haar-Wavelet approach. The metric for image quality used are PSNR and MSSIM. Our experimental results have shown high embedding rate, good imperceptibility and better run time than the known Haar-Wavelet based technique.
  • Keywords
    data compression; decoding; image coding; steganography; wavelet transforms; MSSIM; PSNR; Slantlet transform; T-codes; decoding efficiency; embedding capacity; image steganography security; signal compression; time localization; wavelet-like transforms; Circuit testing; Computer science; Educational institutions; Output feedback; Polynomials; Shift registers; Signal processing algorithms; Steganography; Very large scale integration; Watermarking; DCT; DST; DWT; FFT; MSSIM; PSNR; ST; STEGANOGRAPHY; VLC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Computer Science, 2009. ICM2CS 2009. Proceeding of International Conference on
  • Conference_Location
    Delhi
  • Print_ISBN
    978-1-4244-5051-0
  • Type

    conf

  • DOI
    10.1109/ICM2CS.2009.5397983
  • Filename
    5397983