• DocumentCode
    2079163
  • Title

    Capacity and quality improvement in reversible image watermarking approach

  • Author

    Abdullah, Shahidan M. ; Manaf, Azizah A. ; Zamani, Mazdak

  • Author_Institution
    Univ. Technol. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2010
  • fDate
    16-18 Aug. 2010
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    This paper proposes a high capacity reversible image watermarking scheme based on enhancement of difference expansion method. Reversible watermarking enables the embedding of useful information in a host signal without any loss of host information. We propose an enhancement of Difference Expansion technique whereby we can embed recursively into multiple layer of payload for grey scale and also RGB color scale, hence it increase capacity much better. The proposed technique improves the distortion performance at low embedding capacities and mitigates the capacity control problem. We also propose a reversible data-embedding technique with blind detection of watermark. This new technique exploits the selection of optimum block size to implement the algorithm. The experimental results for many standard test images show that multilevel of embedding increase the capacity when compared to normal difference expansion. There is also a significant improvement in the quality (PSNR) of the watermarked image, especially at moderate embedding capacities.
  • Keywords
    image coding; image colour analysis; watermarking; RGB color scale; capacity control problem; difference expansion technique; high capacity reversible image watermarking scheme; reversible data embedding technique; watermark blind detection; Fires; Magnetic resonance imaging; PSNR; blind detection; component; difference expansion; multilayer embedding; recursive; reversible watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Computing and Advanced Information Management (NCM), 2010 Sixth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-7671-8
  • Electronic_ISBN
    978-89-88678-26-8
  • Type

    conf

  • Filename
    5572351