淡江大學機構典藏:Item 987654321/104258
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 62822/95882 (66%)
造訪人次 : 4016368      線上人數 : 564
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋


    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


    題名: An UM-based silhouette-crease edge enhancement for noisy images
    作者: Shwu-Huey Yen;Tai-Kuang Li;Chun-Hui Wang
    關鍵詞: 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
    上傳時間: 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
    顯示於類別:[資訊工程學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML206檢視/開啟
    顏淑惠(An UM-based).pdf638KbAdobe PDF87檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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