• DocumentCode
    2044015
  • Title

    New Image Steganographic Method Using RLC & Modular Arithmetic

  • Author

    Naimi, Hossein Miar ; Ramazannia, Bagher

  • Author_Institution
    Electr. Eng. Fac., Babol Univ. of Technol., Iran
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    744
  • Lastpage
    747
  • Abstract
    Using advantages of previous algorithms along with a novel point, a new low destructive image steganographic method is proposed. The host image is segmented into blocks of pairs of successive pixels. The secret data are hidden in these two-pixel blocks. The secret data is considered as a stream of bits and is coded using run length coding. Here 0 and 1 s are run values and the number of run values in each run is run count. There are two novel points in this paper, as the first the RLC coded secret bit stream is rearranged so that there is no need to embed run values, and only run counts are embedded. This point reduces the volume of embedded data considerably. As the second point, the run counts greater than a predefined value are embedded in more than one block, limiting local destruction. The embedding process incorporates the modular arithmetic. Using different experiments under various conditions, the proposed algorithm was compared to the last published method. In all experiments, for the same size of embedded data the proposed algorithm has 4 to 12 db lower destruction than the last algorithm.
  • Keywords
    image segmentation; steganography; RLC arithmetic; embedded data; embedding process; image segmention; image steganographic method; modular arithmetic; run length coding; secret data; Arithmetic; Data mining; Image coding; Image segmentation; Limiting; Pixel; Signal processing algorithms; Speech; Steganography; Streaming media; Modular Arirhmatic; Run Length Coding; Steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728426
  • Filename
    4728426