English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 14182936      Online Users : 97
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTHU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 會議論文  >  An adaptive data hiding technique for binary image

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13952

    Title: An adaptive data hiding technique for binary image
    Authors: Liu,Tung-Hsiang
    Date: 2004
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Keywords: Image processing
    Delta modulation
    Optical resolving power
    Data acquisition
    Matrix algebra
    Integer programming
    Abstract: A simple data hiding technique for binary images is proposed. The proposed method embeds secure data at the edge portion of host binary image. We find the best changeable pixels in a block by changing distance matrix dynamically and compute its changeable score by weighting mechanism. The proposed method uses the pseudo random number generator based on Rabin Public Key Cryptography System to embed secret data into a binary image. According to the pseudo random number generator, we can distribute secret data into the binary image to make binary image quality better and get high security.
    Relation Link: http://webservices.ieee.org/pindex_basic.html
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13952
    Appears in Collections:[資訊工程學系] 會議論文
    [資訊系統與應用研究所] 會議論文
    [電腦與通訊科技研發中心] 會議論文

    Files in This Item:

    File Description SizeFormat
    2030206030003.pdf259KbAdobe PDF1279View/Open


    SFX Query


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback