傅楸善臺灣大學：資訊工程學研究所陳景富Chen, Jing-FuJing-FuChen2007-11-262018-07-052007-11-262018-07-052005http://ntur.lib.ntu.edu.tw//handle/246246/53691在本論文中，我們提出一個影像穩定演算法，並且實做出選擇最佳照片的方法和超解析度重建影像。 影像穩定系統主要可分為光學式與數位式。光學式影像穩定系統是應用迴轉儀的原理，加上一組位移補償鏡頭，來消除相機震動的影響。數位式影像穩定系統應用影像處理的演算法，來回復影像品質。選擇最佳照片的方法是藉由連拍來避免拍攝到模糊影像，從連拍中儲存一張最清楚的照片。即使連拍的照片不夠清楚，超解析度重建更進一步地將模糊的照片合成清晰的影像。實驗結果顯示我們的影像穩定演算法確實可以選出清楚的照片，並且使影像更清晰，也符合使用者的主觀選擇。In this thesis, we present an image stabilization algorithm based on Nikon’s Best Shot Selector. We implement Best Shot Selector and use super resolution concept to reconstruct blurred images. Image stabilization includes optical and digital methods. Optical stabilization applies gyroscopic sensors and corrective lens to compensate camera shake optically. Digital stabilization applies image processing algorithms to restore motion blurs. Best Shot Selector avoids the risk of capturing blurred images by sequential capturing and selection. Furthermore, super resolution reconstruction combines images into a sharper image even if the result image of Best Shot Selector is blurred. The experiment results show that our image stabilization algorithm indeed selects and enhances the sharpest image.1 Introduction 1 1.1 Motivation 1 1.2 Image Stabilization 1 1.3 Classification of Blur 2 1.4 Best Shot Selector 5 1.5 Super Resolution Reconstruction 5 2 Image Stabilization 6 2.1 The Causes of Image Blur 6 2.1.1 Slow Shutter Speed 6 2.1.2 Telephoto Shots 8 2.2 Optical Stabilization 9 2.2.1 Vibration Reduction System 9 2.2.2 Gyroscope Principle 10 2.2.3 Compensation Effect 12 2.3 Digital Stabilization 15 3 Best Shot Selector 16 3.1 Gradient Edge Detector 16 3.2 Region of Interest (ROI) Calculation 18 3.3 BSS Flowchart and Experimental Results 19 4 Super Resolution Reconstruction 24 4.1 Harris Corner Detector 24 4.1.1 Corner Detector Concept 24 4.1.2 Corner Detector Analysis 26 4.1.3 Summary of Harris Corner Detector 29 4.2 Feature Matching 30 4.2.1 Minimum Sum of Squared Error 30 4.2.2 Two-Way Check and Adjusting Matching 31 4.2.3 Summary of Feature Matching 32 4.3 Image Combination 34 4.3.1 Grid Vector Calculation 34 4.3.2 Proportional Combination 36 4.4 Super Resolution Reconstruction Flowchart and Experimental Results 37 5 Conclusions and Future Works 41 5.1 Best Shot Selector 41 5.2 Super Resolution Reconstruction 41 5.3 Future Works 42 Reference 441980463 bytesapplication/pdfen-US影像穩定超解析度image stabilizationbest shot selectorsuper resolutionthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/53691/1/ntu-94-R92922091-1.pdf