English  |  正體中文  |  简体中文  |  Items with full text/Total items : 56431/90260 (63%)
Visitors : 11699924      Online Users : 55
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/987654321/45297

    Title: SVM Based Watermarking Technique
    Other Titles: 一種以SVM為基礎的浮水印技術
    Authors: 顏淑惠;Yen, Shwu-huey, Wang, Chia-jen
    Contributors: 淡江大學資訊工程學系
    Keywords: Digital Watermarking;Support Vector Machines (SVMs)
    Date: 2006-06-01
    Issue Date: 2010-03-26 18:56:29 (UTC+8)
    Publisher: 臺北縣:淡江大學
    Abstract: This paper presents a digital watermarking technique based on Support Vector Machines (SVMs). Use the nice characteristic of the SVM, which can result an optimal hyperplane for the given training samples, the imperceptibility and robustness requirements of watermarks are fulfilled and optimized. In the proposed scheme, to improve imperceptibility, the watermark is embedded by asymmetrically tuning blue channels of the central and surrounding pixels at the same time. Furthermore, to promote robustness, the embedded watermark bits will be re-modified if necessary according to classifying result of the trained SVM. Our scheme uses only 128 bits in training SVM, thus it is time efficient. Watermarks are embedded in spatial domain and extracted directly from a watermarked image without the requirement of original image. Experiments show that the proposed scheme provides high PSNR of a watermarked images and low extraction error rate.
    Relation: 淡江理工學刊=Tamkang journal of science and engineering 9(2), pp.141-150
    DOI: 10.6180/jase.2006.9.2.08
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    1560-6686_9(2)_p141-150.pdf1347KbAdobe PDF289View/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