本論文提出一套影像對、影像融合、內插以及影像恢復等技術，將數張低解析影像合成超解析度影像。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)適用彈性高，即使訊噪比低的影像也可適用；(5)具備自動化與機械化處理的可行性。

This paper presents a set of Image Registration, Image Integration, interpolation and image restoration and other technology, the number of low-resolution images synthesized high-resolution image. Relative to the existing image fusion technology, the method provided in this paper has more advantages, such as: (1) high-precision value; (2)low computation cost; (3)a compact system; (4) applicable to noise images; (5) robotic and automatic performance.

致謝.............................................. iv
中文摘要...................................... v
英文摘要..................................... vi
目錄.............................................. vii
圖目錄.......................................... ix
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 實驗架構與原理
2.1 實驗架構.............................. 5
2.2 相位量測法.......................... 7
2.3 相位展開演算法................. 10
2.4 利用相位資訊進行Registration 之演算法............. 12
2.5 灰階強度校正...................... 17
2.6 等分點圖形製作................. 18
第三章 銳化原理與模擬
3.1 簡介..................................... 19
3.2 理論分析.............................. 20
3.3 線性移動還原原理............. 25
第四章 針對有雜訊的影像提升影像解析度
4.3前言....................................... 34
4.2 Sobel operator.................. 35
4.3影像銳化............................... 36
　4.4誤差分析............................. 41
4.5 Sobel operator的缺點分析................................... 46
第五章 結論與未來展望.................................................. 49
參考文獻...................................... 50
附錄............................................... 53

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