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研究生:沈軒緯
研究生(外文):Xuan-Wei Shen
論文名稱:基於區域目標之多重曝光影像融合
論文名稱(外文):ROI-Based Fusion of Multi-Exposure Images
指導教授:葉經緯
指導教授(外文):Ching-Wei Yeh
口試委員:王進賢林泰吉黃崇勛駱明凌葉經緯
口試委員(外文):Jinn-Shyan WangTay-Jyi LinChung-Hsun HuangMing-Ling LoChing-Wei Yeh
口試日期:2014-07-18
學位類別:碩士
校院名稱:國立中正大學
系所名稱:電機工程研究所
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:2014
畢業學年度:102
語文別:英文
論文頁數:36
中文關鍵詞:高動態範圍曝光融合無縫融合影像梯度
外文關鍵詞:High dynamic rangeExposure fusionImage gradientSeamless cloning
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利用多張相同場景不同曝光的影像合成單一高動態範圍(High Dynamic Range; HDR)影像的技術從1997年[4]提出至今有許多相關的技術研究,並廣泛的應用在各類消費性電子產品上。但是至今一般的顯示裝置(LCD螢幕)仍然無法直接顯示高動態範圍影像,因此需要使用色調映射(Tone mapping)的技術將HDR影像轉成一般顯示裝置可直接顯示的影像格式。
為此我們提出了不產生高動態範圍影像,而是由多張相同場景不同曝光的影像合成高品質並且可以直接在一般顯示裝置撥放的影像。我們的方法是先從多張不同曝光的影像選擇一張「最好」的影像當作「主要影像」,並將其他張影像當作「輔助影像」主要影像會大部分直接使用在最終的高品質影像,除了主要影像中「不佳」的部分,在這些部分我們會使用輔助影像來「輔助」我們得到高品質的影像結果。

In this thesis we propose a technique to blend multiple exposure images into a high-quality result, without generating a physically-based high dynamic range (HDR) image. This avoids physically influence like camera response curve or Bright change like flash. Our method is selecting the best image in the multiple exposure images for leading, and the other images for supportings. The leading mostly use directly in the result image expect where the ill-exposured region in leading image. In this region we fused the supportings to “support” the leading to have the high-quality result image.
ACKNOWLEDGMENTS I
中文摘要 II
ACKNOWLEDGMENTS I
中文摘要 II
ABSTRACT III
1 INTRODUCTION 1
2 RELATED WORK 5
3 TRADITIONAL EXPOSURE FUSION PROBLEM 7
4 LEADING AND SUPPORTINGS 10
5 REGION OF INTEREST 14
6 ROI-BASED ILL-EXPOSURED RECOVERING 16
6.1 WEIGHT BLENDING BASE ON LOCAL QUALITY MEASURES 17
6.1.1 Well-Exposuredness 17
6.1.2 Gradient 17
6.2 Boundary aware seamless blending 19
7 EXPERIMENT RESULT 22
7.1 Execution Environment 22
7.2 Results and Compare 24
7.3 SSIM Index of Quantized Images 30
8 CONCLUSION 32
REFERENCE 33
VITA 36


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