English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54229/89020 (61%)
Visitors : 10553912      Online Users : 22
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/111859


    Title: Approximate Detection Method for Image Up-Sampling
    Authors: Tu, Ching-Ting;Lin, Hwei-Jen;Yang, Fu-Wen;Chang, Hsiao-Wei
    Keywords: image forgery;copy-move;resampling rate;resampling factorzeroing mask
    Date: 2014-02-28
    Issue Date: 2017-10-27 02:10:41 (UTC+8)
    Publisher: Korean Society for Internet Information,Hangug Inteones Jeongbo Haghoe
    Abstract: This paper proposes a new resampling detection method for images that detects whether an image has been resampled and recovers the corresponding resampling rate. The proposed method uses a given set of zeroing masks for various resampling factors to evaluate the convolution values of the input image with the zeroing masks. Improving upon our previous work, the proposed method detects more resampling factors by checking for some periodicity with an approximate detection mechanism. The experimental results demonstrate that the proposed method is effective and efficient.
    Relation: KSII Transactions on Internet & Information Systems 8(2), p.462-482
    DOI: 10.3837/tiis.2014.02.008
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    Approximate Detection Method for Image Up-Sampling.pdf606KbAdobe PDF0View/Open
    index.html0KbHTML38View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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