English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21661816      Online Users : 461
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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
    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/6467


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/6467


    Title: Scheme for hiding images by finding optimal one-to-two substitution table using dynamic programming strategy
    Authors: Chan, C. S.;Chang, C. C.
    Keywords: IMAGE HIDING;LEAST-SIGNIFICANT-BIT SUBSTITUTION;DYNAMIC PROGRAMMING
    Date: 2007-03
    Issue Date: 2009-12-17 06:58:07 (UTC+0)
    Publisher: Asia University
    Abstract: In 2003, Chang et al. (Pattern Recognition, 2003, 36(7), 1583-1595) proposed a way to find an optimal one-to-one substitution table using a dynamic programming strategy in image hiding. The present paper introduces a new method which uses the one-to-two substitution table to help with image hiding. First, a square-error matrix with three dimensions was built up. After applying a dynamic programming strategy on the square-error matrix, one can obtain the optimal one-to-two substitution table. According to the experimental results, the new method is capable of offering much better stego-image quality than the LSB substitution method and the one-to-one substitution method.
    Relation: Imaging Science Journal 55(1): 13-22
    Appears in Collections:[資訊工程學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    0KbUnknown486View/Open
    310904400-6467.doc60KbMicrosoft Word242View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


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