文化大學機構典藏 CCUR:Item 987654321/2738
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 46867/50733 (92%)
造访人次 : 11887780      在线人数 : 805
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    主页登入上传说明关于CCUR管理 到手机版


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/2738


    题名: A statistical approach for ownership identification of digital images
    作者: Hsu, Ching-Sheng;Tu, Shu-Fen;Hou, Young-Ch
    贡献者: 資管系
    日期: 2006
    上传时间: 2009-11-16 12:05:25 (UTC+8)
    摘要: In this paper, we propose an ownership identification scheme for digital images with binary and gray-level ownership statements. The proposed method uses the theories and properties of sampling distribution of means to satisfy the requirements of robustness and security. Essentially, our method will not really insert the ownership statement into the host image. Instead, the ownership share will be generated by the sampling method as a key to reveal the ownership statement. Besides, our method allows ownership statements to be of any size and avoids the hidden ownership statement to be destroyed by the latter ones. When the rightful ownership of the image needs to be identified, our method can reveal the ownership statement without resorting to the original image. Finally, several common attacks to the image will be held to verify the robustness and the security is also analyzed.
    關聯: ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS Book Series: LECTURE NOTES IN COMPUTER SCIENCE Volume: 4179
    显示于类别:[資訊管理學系暨資訊管理研究所 ] 期刊論文

    文件中的档案:

    没有与此文件相关的档案.



    在CCUR中所有的数据项都受到原著作权保护.


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