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研究生:曾昭瑜
研究生(外文):Jhao-Yu Zeng
論文名稱:利用多重數位影像重建高解析度影像
論文名稱(外文):Using multiple digital image to synthesize a high-resolution image
指導教授:李晁逵蘇威宏
指導教授(外文):Chao-Kuei LeeWei-Hung Su
學位類別:碩士
校院名稱:國立中山大學
系所名稱:光電工程學系研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:51
中文關鍵詞:合成多張影像解析度Registration超解析影像重建
外文關鍵詞:multiple imagesynthesizeresolutionRegistrationsuper-resolution image reconstruct
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本論文藉由條紋投影的方式提出一套新的Registration 演算法,將數張低解
析度的影像融合成一張高取樣點、高解析度的影像。相對於現有的影像融合技術,
本論文所提供的方法具有更多的優點,諸如:(1)高精確值;(2)低演算成本;(3)
系統架構簡單;(4)具備自動化處理的可行性。以本論文設備為例,用三台CCD 擷
取的圖像合成銳化之後解析度提高了2.72 倍。
In this paper, we propose an image registration algorithm to form a set of images to
a high-resolution image. This algorithm employs a fringe projected scheme to perform
the registration. The proposed algorithm provides several advantages, such as high
precision, low computation cost, simple system configuration and robotic performance.
An example which used three images to form a hight-resolution image was given. It was
found that the resolution had enhanced 2.72 times.

論文審定書…………………………………………………………………………………………………… i
致謝………………………………………………………………………………………………………………… iii
中文摘要………………………………………………………………………………………………………… iv
英文摘要………………………………………………………………………………………………………… v
目錄………………………………………………………………………………………………………………… vi
圖目錄……………………………………………………………………………………………………………… viii
第一章 緒論
1.1 前言…………………………………………………………………………………………………… 1
1.2 歷史發展………………………………………………………………………………………… 2
1.3 動機目的………………………………………………………………………………………… 3
1.4 論文架構………………………………………………………………………………………… 4
第二章 原理介紹
2.1 簡介…………………………………………………………………………………………………… 5
2.2 相位量測法……………………………………………………………………………………… 6
2.3 相位展開演算法…………………………………………………………………………… 10
第三章 系統架構與原理
3.1 實驗架構………………………………………………………………………………………… 12
3.2 利用相位資訊進行Registration之演算法……………………………… 14
3.3 影像融合………………………………………………………………………………………… 20
3.4 銳化分析………………………………………………………………………………………… 21
第四章 實驗與結果
4.1 低解析度影像製作………………………………………………………………………… 24
4.2 實驗結果………………………………………………………………………………………… 33
第五章 結論………………………………………………………………………………………………… 37
參考文獻……………………………………………………………………………………………………… 38

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[9] 周厚丞,“干涉儀相位移動器之精密校正法”2007國立中央大學光電科學研究所碩士學位論文
[10] P. Vandewalle, S. Susstrunk, and M. Vetterli, "A Frequency Domain Approach to Registration of Aliased Images with Application to Super-Resolution, " EURASIP Journal on Applied Signal Processing, 2005.
[11] Bose, N. K., Ng, M. K., & Yau, A. C. (2005).” Super-resolution image restoration from blurred observations.” In: Proceedings of the International symposium of circuits and systems, Kobe, Japan,pp. 6296-6299.
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