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題名 | 多幅攝影測量影像超解析度重建之研究=The Study of Super-Resolution Image Reconstruction from Multiple Photogrammetric Images |
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作者 | 薛憲文; 洪啟穎; 李良輝; | 書刊名 | 中正嶺學報 |
卷期 | 45:2(A) 2016.11[民105.11] |
頁次 | 頁121-131 |
分類號 | 312.1 |
關鍵詞 | 多幅影像超解析度重建; 凸集投影法; 迭代反投影法; Multiple images super-resolution reconstruction; Projection Onto Convex Sets; POCS; Iterative Back Projection; IBP; |
語文 | 中文(Chinese) |
中文摘要 | 影像超解析度重建技術基本理論是將一系列帶有模糊、雜訊的多幅低解析度影像,利用各影像包含的特徵訊息結合影像先驗訊息,藉數據融合,恢復影像在獲取和傳輸過程中所遺失或降低的高頻訊息,重建出品質較優異的高解析度影像。本研究採用超解析度影像重建技術中的凸集投影法與迭代反投影法,以案例分析方式探討其效果與限制。案例選擇四種不同條件攝影測量影像,也採用雙立方內插法進行單幅影像插值,以增加影像像素,做為參考比對。本研究藉由不同處理方式比較,並探討影像的清晰度與幾何精度關係。由本研究實驗結果顯示,凸集投影法較佳。 |
英文摘要 | Super-resolution reconstruction technology from multiple images provides a tool for overcome the limitation imposed by the image acquisition devicesand environmental restrictions.The fundamental concept of Super-resolution reconstruction is based on data fusion with priori information of the image content and noise, to improve the resolution and image quality of the origianlly acquired images. This study adopted two popular schemes, namely,Projection Onto Convex Sets (POCS) and Iterative Back Projection(IBP) methods. Bicubic interpolation is utilized as the reference model for comparision. These three methods are applied to four selected photogrammetric images. Each imageis featured with a designed condition. The higher resolution images generated are evaluated based on the image clarity and geometric accuracy. Based on the experiments conducted in this study, POCS has better performance. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。