• DocumentCode
    2577959
  • Title

    Robust lossless image data hiding

  • Author

    Ni, Zhicheng ; Shi, Yun Q. ; Ansari, Ninvan ; Su, Wei ; Sun, Qibin ; Lin, Xiao

  • Author_Institution
    New Jersey Inst. of Technol., Newark, NJ, USA
  • Volume
    3
  • fYear
    2004
  • fDate
    27-30 June 2004
  • Firstpage
    2199
  • Abstract
    Recently, among various data hiding techniques, a new subset, lossless data hiding, has drawn tremendous interest. Most existing lossless data hiding algorithms are, however, fragile in the sense that they can be defeated when compression or other small alteration is applied to the marked image. The method of C. De Vleeschouwer et al. (see IEEE Trans. Multimedia, vol.5, p.97-105, 2003) is the only existing semi-fragile lossless data hiding technique (also referred to as robust lossless data hiding), which is robust against high quality JPEG compression. We first point out that this technique has a fatal problem: salt-and-pepper noise caused by using modulo 256 addition. We then propose a novel robust lossless data hiding technique, which does not generate salt-and-pepper noise. This technique has been successfully applied to many commonly used images (including medical images, more than 1000 images in the CorelDRAW database, and JPEG2000 test images), thus demonstrating its generality. The experimental results show that the visual quality, payload and robustness are acceptable. In addition to medical and law enforcement fields, it has been applied to authenticate losslessly compressed JPEG2000 images.
  • Keywords
    data encapsulation; image coding; random noise; JPEG compression; fragile lossless data hiding; lossless image data hiding; robust lossless data hiding; salt-and-pepper noise; Biomedical imaging; Data encapsulation; Image coding; Image databases; Medical tests; Noise generators; Noise robustness; Payloads; Transform coding; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8603-5
  • Type

    conf

  • DOI
    10.1109/ICME.2004.1394706
  • Filename
    1394706