English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90452/105769 (86%)
Visitors : 11946337      Online Users : 413
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 310904400/111943


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/111943


    Title: A New Blind Image Authentication for Image Tampering Detection and Recovery Based on Block-wise Feature Classification
    Authors: 周永振;CHOU, YUNG-CHEN;葉春秀;Yeh;Chun-Hsiu;沈肇基;Shen;Jau-Ji;詹進科;Jan;Jinn-Ke
    Contributors: 資訊工程學系
    Date: 2018-11
    Issue Date: 2019-09-02 15:25:15 (UTC+8)
    Abstract: This paper presents a blind image authentication technique. It reports on several processes involved in image authentication, tamper detection, and tampered image recovery. The authentication codes of each block consist of three features, variance, grayscale, and edge. To enhance the robustness of each block’s authentication codes, these codes will make three copies and permute their data stream before embedding. The proposed blind image authentication method can verify the integrity of an image without requiring access to the original image. Moreover, image recovery for tampered blocks is also conducted with the same authentication code’s blocks. The experimental results show that the proposed method can successfully achieve the goal of image authentication and maintain the high visual quality on both of authenticated image and its recovery version if any tamper is happened.
    Relation: Journal of Internet Technology
    Appears in Collections:[資訊工程學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML64View/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