• DocumentCode
    672644
  • Title

    Robust reversible watermarking scheme based on wavelet-like transform

  • Author

    Mohammed, Rasha Thabit ; Bee Ee Khoo

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. Sains Malaysia, Nibong Tebal, Malaysia
  • fYear
    2013
  • fDate
    8-10 Oct. 2013
  • Firstpage
    354
  • Lastpage
    359
  • Abstract
    Watermarking reversibility is one of the basic requirements for medical imaging, military imaging, and remote sensing applications. In these fields a slight change in the original image can lead to a significant difference in the final decision making process. However, the reversibility alone is not enough for practical applications because the hidden data must be extracted even after unintentional attacks (e.g., noise addition, JPEG compression) so a robust (i.e., semi-fragile) reversible watermarking methods became required. In this paper, we present a new robust reversible watermarking method that utilizes the Slantlet transform (SLT) to transform image blocks and modifying the SLT coefficients to embed the watermark bits. If the watermarked image is not attacked, the method is completely reversible (i.e., the watermark and the original image will be recovered correctly). After JPEG compression, the hidden data can be extracted without error. Experimental results prove that the presented scheme achieves high visual quality, complete reversibility, and better robustness in comparison with the previous methods.
  • Keywords
    data compression; image coding; image watermarking; wavelet transforms; JPEG compression; SL; final decision making process; image blocks transform; medical imaging; military imaging; remote sensing applications; robust reversible watermarking scheme; slantlet transform; unintentional attacks; visual quality; watermarking reversibility; wavelet-like transform; Image coding; Robustness; Transform coding; Transforms; Watermarking; Digital image watermarking; Slantlet Transform (SLT); reversible watermarking; robust watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on
  • Conference_Location
    Melaka
  • Print_ISBN
    978-1-4799-0267-5
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2013.6708032
  • Filename
    6708032