期刊論文
| 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 ) |