• DocumentCode
    1833494
  • Title

    A DWT-DCT-SVD based digital image watermarking scheme using particle swarm optimization

  • Author

    Sivavenkateswara, R.V. ; Shekhawat, Rajendra S. ; Srivastava, V.K.

  • Author_Institution
    Dept. of ECE, MNNIT, Allahabad, India
  • fYear
    2012
  • fDate
    1-2 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we propose a hybrid watermarking scheme for digital images based on singular value decomposition (SVD) and particle swarm optimization (PSO). The two key aspects of watermarking schemes are copyright protected and robustness. In this, we are embedded the principal components of the watermark in the DCT domain of DWT subband of host image, for providing copyright protection as well as reliability. Since Scaling factor is an image dependent so we are providing it in the form of a matrix. PSO is used for finding suitable scaling factors such that to provide efficient robustness and fidelity of the scheme. Experimental results are provided to illustrate that the proposed scheme is able to withstand a variety of image processing attacks as well as imperceptibility.
  • Keywords
    copyright; discrete cosine transforms; discrete wavelet transforms; image watermarking; particle swarm optimisation; singular value decomposition; DWT-DCT-SVD based digital image watermarking scheme; PSO; copyright protection; host image; hybrid watermarking scheme; image processing attacks; imperceptibility; particle swarm optimization; scaling factor; singular value decomposition; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Manganese; Particle swarm optimization; Robustness; Watermarking; Copy Right Protection; Discrete Cosine transform; Discrete Wavelet Transform; Particle swarm Optimization; Singular Value Decomposition; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4673-1516-6
  • Type

    conf

  • DOI
    10.1109/SCEECS.2012.6184795
  • Filename
    6184795