• DocumentCode
    3541788
  • Title

    An image embedding in image by a complexity based region segmentation method

  • Author

    Niimi, Michiharu ; Noda, Hideki ; Kawaguch, Eiji

  • Author_Institution
    Dept. of Electr. Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
  • Volume
    3
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    74
  • Abstract
    This paper describes a new technique to embed secret data into a dummy image by using image segmentation based on a local complexity measure. The key idea to this approach is that a binary image can be categorized as “informative” and “noise-like” regions which are segmented by a “complexity measure”. If the embedding data is noise-like, we can hide it in the noise-like region of the dummy image. If a part of embedding data is simple, then we apply “image conjugate” operation to it. This operation transform a simple pattern into a complex pattern. In our experiment, we could embed two color images in a 512×512 (8 bits/pixel) size gray image (which was dummy) without losing any information. The total amount of the two embedded images was 115 KB, which was about 45% of the dummy image
  • Keywords
    cryptography; image coding; image colour analysis; image segmentation; noise; 262144 pixel; 512 pixel; binary image; color images; complexity based region segmentation; complexity measure; data encryption; dummy image; gray image; image conjugate operation; image embedding; informative region; local complexity measure; noise-like region; secret data; Color; Colored noise; Cryptography; Data engineering; Embedded computing; Humans; Image segmentation; Length measurement; Noise measurement; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.631986
  • Filename
    631986