• DocumentCode
    2690974
  • Title

    Secret Image Sharing Scheme with Flexible Adjustment Shadow Images

  • Author

    Liu, Li ; Wang, Anhong ; Liu, Wenjie ; Li, Zhihong

  • Author_Institution
    Inst. of Digital Media & Commun., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • fYear
    2012
  • fDate
    7-9 July 2012
  • Firstpage
    29
  • Lastpage
    32
  • Abstract
    Secret image sharing is a technique for protecting images from being grabbed or tampered with. It involves the partition of the secret image into many shadow images. Usually, the small shadow images are useful for fast transmission and storage. However, the smaller size of shadows means more data compressed with low quality images. In order to reconcile this contradiction, a new scheme which can flexibly adjust the relationship between the size of shadows and the image quality according to the actual demand was proposed in this paper. This scheme combined with technology of compressed sensing and Shamir`s (k,n)-threshold scheme, and realized the process of flexible adjustment in shadows by different observation rate. Experimental results confirm that the proposed scheme can reasonably adjust the relationship between the size of shadows and the image quality according to the actual requirements and the available bandwidth. The scheme has the certain practicality.
  • Keywords
    compressed sensing; data compression; image coding; security of data; (k,n)-threshold scheme; Shamir`s-threshold scheme; compressed sensing; data compression; flexible adjustment shadow images; image protection; image quality; low quality images; observation rate; secret image sharing scheme; Bandwidth; Compressed sensing; Cryptography; Image coding; Image quality; Image reconstruction; Quantization; compressed sensing; observation rate; secret sharing scheme; small shadows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4673-2033-7
  • Type

    conf

  • DOI
    10.1109/CMCSN.2012.8
  • Filename
    6245808