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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/35202

    Title: 多重邊緣配對之影像修補
    Other Titles: Image restoration based on matching multiple edges
    Authors: 高嘉正;Kao, Chia-chung
    Contributors: 淡江大學資訊工程學系碩士班
    林慧珍;Lin, Hwei-jen
    Keywords: 邊線端點;顏色資訊;切線斜率;edge endpoint;color information;slopes of tangent line
    Date: 2007
    Issue Date: 2010-01-11 06:08:53 (UTC+8)
    Abstract: 本論文提出一套具偵測並修復毀損邊緣之影像修補系統。首先找出可能的邊緣線端點,再根據顏色與切線斜率資訊,執行邊緣點配對。進而進行影像修補工作,包含毀損邊緣軌跡外圍區域與其它毀損區域之修補。由於不同影像具其個別特性,一個修補法無法針對所有影像做完美修補。因而我們根據不同的影像特性,針對邊線區域與非邊線區域提出四個不同修補方法。
    修補法之二,以邊線為基準之區塊剪貼,以兩端點邊線的延伸,找出適當的區塊,利用座標的平移與旋轉,將對應的座標點之內容資料填回受損區域完成修補。以上兩個修補法都執行相同的後處裡工作,即對修補區域邊緣的顏色差異,以區域變化平滑化(local variation smoothing)將之消除。
    This paper proposes an image repairing system that can detect and restored damaged edges. First possible damaged edge endpoints are determined and then paired in accordance with their characteristics such as color information and slopes of tangent lines. The damaged region to be repaired is divided into two parts including the subregion around the predicted edge trajectory and the remaining. There does not exist an image repairing system well suit to all kinds of images. Based on different characteristics of edge regions and non-edge regions, we proposed four different repairing methods, including strip-wise cut-and-paste with adjustment, block-wise cut-and-paste with adjustment, inpainting based on color variation, and inpainting using interpolation on color information and direction. For each of these methods,
    we analyze and describe its individual characteristics and the images it is suitable to repair.
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Thesis

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