• DocumentCode
    2485281
  • Title

    Reversible binary image data hiding by run-length histogram modification

  • Author

    Xuan, Guorong ; Shi, Yun Q. ; Chai, Peiqi ; Tong, Xuefeng ; Teng, Jianzhong ; Li, Jue

  • Author_Institution
    Dept. of Comput. Sci., Tongji Univ., Shanghai
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel reversible binary image data hiding scheme using run-length (RL) histogram modification is presented in this paper. The binary image is scanned from left to right and from top to bottom to form a sequence of alternative black RL and white RL. Combining one black RL and its immediate next white RL, we form one RL couple, thus generating a sequence of RL couples. The length of each couple is fixed during data embedding in order not to fail the reversibility. Two procedures are adopted to achieve reversibility: (1) only involve those RL couples in data embedding in which the length of couple is not shorter than threshold T1; (2) increase white RL of isolated white pixels from one to two. Another parameter T indicates where to embed data in black RL histogram. Adjusting T1 and T may result in optimum performance of pure embedding rate versus visual quality of marked image. The proposed scheme works for text, graphics, and their mixture, both halftone and nonhalftone binary images. Experimental works have shown its superior performs over the prior-arts.
  • Keywords
    binary codes; data encapsulation; image coding; image segmentation; image sequences; runlength codes; statistical analysis; data embedding; image sequence; image thresholding; reversible binary image data hiding; run-length histogram modification; Computer science; Data encapsulation; Graphics; Histograms; Image analysis; Pixel; Resonance light scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761613
  • Filename
    4761613