淡江大學機構典藏:Item 987654321/104258
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62797/95867 (66%)
造访人次 : 3732298      在线人数 : 345
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/104258


    题名: An UM-based silhouette-crease edge enhancement for noisy images
    作者: Shwu-Huey Yen;Tai-Kuang Li;Chun-Hui Wang
    关键词: unsharp masking;UM;silhouette edges;crease edges;detail variance;background variance;UM-based edge enhancement;noisy images;image processing;noise suppression;noise smoothing;night images
    日期: 2015
    上传时间: 2016-01-06 10:53:14 (UTC+8)
    摘要: This paper presents an improved unsharp masking (UM) technique that enhances the quality and suppresses noises for the images acquired from a noisy environment such as taken during night time. Our approach employs noise smoothing and the idea that important edges should be enhanced more than minor edges. Edges are classified as silhouette and crease edges (major and minor edges) according to their lengths. An adaptive weighting method is used to enhance the edges. In this way, the major edges (silhouette) are sharpened more than minor edges (crease). The proposed method is examined on night images as well as noisy images. It is also compared to existing UM-based methods with satisfying results.
    關聯: International Journal of Computational Science and Engineering 10(4), pp.327-335
    DOI: 10.1504/IJCSE.2015.070989
    显示于类别:[資訊工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML201检视/开启
    顏淑惠(An UM-based).pdf638KbAdobe PDF82检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

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