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研究生: 古偉明
Gu, Wei-Ming
論文名稱: 具大角度晃動補償功能之影像穩定系統設計
Image Stabilization System Design with Large Tremor Angle Compensation Ability
指導教授: 陳永裕
Chen, Yung-Yu
學位類別: 碩士
Master
系所名稱: 工學院 - 系統及船舶機電工程學系
Department of Systems and Naval Mechatronic Engineering
論文出版年: 2013
畢業學年度: 101
語文別: 英文
論文頁數: 75
中文關鍵詞: 影像穩定慣性感測器技術
外文關鍵詞: Image stabilization, Hand tremor, Inertial sensing technology
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  • 隨著智慧手機的功能日漸增強,搭載照相機系統已成為基本的配備功能;因為人體有其自然震動的頻率10~20Hz,以及使用照相機的習性改變,如:單手持手機照相機拍照,上述原因造成的晃動將使拍攝出來的影像品質低落,若再搭配百萬畫素等級的影像感測元件或是要求相機整體設計需要輕薄,會使得晃動造成不良影像的情況更加劇烈及難以解決。若要解決手部震動的問題,可藉由增加快門速度以縮短感光成像的時間,讓手部震動影響感光成像的機會降低,可減少影像模糊的機會,不過光靠著提高快門速度,只能降低手震造成影像模糊的機會,無法真正解決震動所造成的問題。因此,必須設計一套影像穩定技術去修正因晃動而偏移的影像訊號,但是部分影像穩定技術仍是幾家大公司的商業機密,如:Konica-Minolta、Sony…等。此研究中結合了慣性感測技術與數位影像穩定演算法來消除手震造成的影像模糊。目前市售數位相機防手震的能力大約在晃動角度介於 內,而此設計提出之影像穩定方法,從實驗結果得到手震造成的晃動角度介於 內皆可被修正。

    With functions of cell phone increasing powerfully, the image capture ability becomes the fundamental function except making phone calls. However, image quality decreases due to hand tremors: 10~20 Hz natural vibration frequency of human body [1] and the rapid increment pixels of sensors hence the worst case will occur especially in that high mega pixel image sensor is adopted and of course, lighten of weight of portable image capture devices is also an important reason for resulting in unacceptable images. For the reason depicted in the above, an advanced stabilization technology must be utilized for compensating this solvable drawback. However, stabilization technologies are still the technical and business secrets of the technology owners such as Konica-Minolta, Sony and so on, and currently only can offer a product specification as: a compensation of hand tremor angle . In this proposed method, hand tremors can be effectively eliminated for the purpose of delivering high quality of images to users.

    摘要 i Abstract iii Contents v List of Tables ix Chapter 1 Introduction 1 1.1 The Reason of Image Blurred 1 1.2 The Category of Image Stabilization System 2 1.3 Hybrid Image Stabilization Design 3 Chapter 2 Output Alignment of Gyroscopes 5 Chapter 3 Image Stabilization Algorithm 13 3.1 Pixel Offsets 14 3.1.1 Camera Translation Induced Pixel Offsets 14 3.1.2 Camera Rotation Induced Pixel Offsets 19 3.2 Image Distortion 22 Chapter 4 Introduction of Experiment Equipments and Practical Test Results 25 4.1 Experiment Equipments 25 4.2 Experimental Results 28 4.2.1 Image Stabilization Integrated with Encoder 30 4.2.2 Image Stabilization Integrate with Gyroscope 45 4.2.3 Discuss the Experimental Result 68 Chapter 5 Conclusions & Future works 71 References 73

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