• DocumentCode
    3476194
  • Title

    An improved lossless data hiding based on space filling curves

  • Author

    Yu, Xiao Yi ; Wang, Aiming

  • Author_Institution
    Sch. of Computerv & Inf. Eng., Anyang Normal Univ., Anyang, China
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    4221
  • Lastpage
    4224
  • Abstract
    An improved lossless data hiding scheme, which can restore the original image completely after data extraction, is presented in this paper. In the proposed method, a cover image is reordered into a sequence using space filling curves. For each pixel (except the first pixel) in the sequence, a pixel difference is generated between the pixel and its neighbor pixel. Due to the inherent structure of images causes a correlation of adjacent pixels, by utilizing the space filling curve scanning we can improve the embedding capacity while keeping the distortion low. Unlike most of the currently available lossless data hiding approaches, in which the visual quality of the stegoimage will be drastically degraded if the multi-layer embedding is applied, the proposed scheme can apply the multi-layer embedding to the cover image conveniently. Experimental results show that the proposed algorithm provides high embedding capacity while keeping the distortions low.
  • Keywords
    feature extraction; image coding; image sequences; steganography; watermarking; cover image reordering; data extraction; image restoration; lossless data hiding scheme; multilayer embedding; pixel difference; space filling curve scanning; stegoimage; watermarking; Data encapsulation; Data engineering; Data mining; Degradation; Filling; Histograms; Image coding; Image restoration; Pixel; Watermarking; lossless data hiding; watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413524
  • Filename
    5413524