An UM-based silhouette-crease edge enhancement for noisy images
學年 104
學期 1
出版（發表）日期 2015-08-01
作品名稱 An UM-based silhouette-crease edge enhancement for noisy images
作品名稱（其他語言）
著者 Shwu-Huey Yen; Tai-Kuang Li; Chun-Hui Wang
單位
出版者
著錄名稱、卷期、頁數 International Journal of Computational Science and Engineering 10(4), pp.327-335
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.
關鍵字 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
語言 en
ISSN 1742-7185;1742-7193
期刊性質 國外
收錄於 EI
產學合作
通訊作者 Shwu-Huey Yen
審稿制度 否
國別 GBR
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/104258 )