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博碩士論文 etd-0220112-111808 詳細資訊
Title page for etd-0220112-111808
論文名稱
Title
二維經驗模態分解於航測影像增強之研究
The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
108
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2012-01-13
繳交日期
Date of Submission
2012-02-20
關鍵字
Keywords
航遙測影像、影像增強、二維經驗模態分解、對比度調整、色彩轉換
aerial image, enhancement, BEMD, contrast adjustment, color transform
統計
Statistics
本論文已被瀏覽 5688 次,被下載 666
The thesis/dissertation has been browsed 5688 times, has been downloaded 666 times.
中文摘要
在各領域已廣泛應用的航遙測影像,若在氣候不佳等條件拍攝下,其影像品質受損,需藉助影像處理方法改善之。隨著技術的成長與進步,影像增強方法正在快速地蓬勃發展,針對需求的不同選擇適當的處理方法。
本研究利用二維經驗模態分解(BEMD)的性質進行影像增強。一維的經驗模態分解在處理非線性的訊號有極佳的成效,能分解出數個基底訊號和趨勢項,而在二維影像所分解的訊號則為影像的邊緣資訊,趨勢項為光影分布圖,透過分解可保留影像的邊緣特徵,並將光影分布圖做對比度調整,改善光影不均勻的情形。為了保留色彩資訊,因此在影像分解前,對影像作色彩轉換,將其分為亮度與色彩度的三張影像,再對亮度影像作分解動作。
利用主觀與客觀的影像評估指標,判斷二維經驗模態分解與其他影像增強方法的差異。研究結果顯示,以往的傳統影像增強有整體影像偏亮的問題,導致邊緣特徵的資訊減少,而二維經驗模態分解有效地改善了影像亮度不均勻的問題,並徹底地留住邊緣特徵。
Abstract
Aerial images had been used in various fields. If the shooting it in conditions of bad weather, that quality was damage. So requires use of image processing methods for improvement. With the growth and progress of technology, image enhancement method is quickly flourishing. That needs of different options for the appropriate treatment.
In this study, image enhancement by the nature of Bi-dimensional empirical mode decomposition (BEMD). Empirical mode decomposition in nonlinear signal processing has excellent results. It can break out some of the base signal and trend. In the BEMD of the signal information
for the edge of the image, the trend term for the light distribution.
Decomposition can be retained the edge features of the image, and
contrast of light and shadow maps make adjustments to improve the
uneven lighting situations. In order to retain the color information, so
the decomposition of the image before the image for color conversion,
will be divided into three degrees of brightness and color images, and
then the brightness of the image for the decomposition of the action.
The use of subjective and objective image evaluation indicators, to
determine the two-dimensional empirical mode decomposition 
method with other image enhancement difference. The results show that
the conventional image enhancement has a problem that bright side of the whole image, resulting in reduced edge feature information. However,
BEMD to effectively improve the image problem of uneven brightness
and thoroughly to keep edge features.
目次 Table of Contents
論文審定書 i
致謝 ii
中文摘要 iii
英文摘要 iv
目錄 v
圖目錄 viii
表目錄 xii
第一章 緒論 1
1.1  前言 1
1.2  研究動機與目的 2
1.3  文獻回顧 3
1.4  研究流程與架構 5
第二章 航遙測影像與影像增強之相關研究 6
2.1 影像增強技術 6
2.1.1 空間域點處理 7
2.1.2 空間域與頻率濾波法 11
2.1.3 同態濾波法 13
2.1.4 視網膜技術-MSRCR 14
2.2 影像品質評估指標 16
2.2.1 絕對性客觀指標 16
2.2.2 相對性客觀指標 19
2.3 小結 21
第三章 二維經驗模態分解 22
3.1 極值點選取 27
3.1.1 鄰近視窗法 27
3.1.2 型態建構學 28
3.2 散亂極值點插植形成包絡面方法 31
3.2.1 Delaunay三角分割 31
3.2.2 徑向基底函數 33
3.2.3 各插值算法比較 33
3.3 篩選過程的停止準則 34
第四章 研究方法 35
4.1 影像前處理之色彩轉換 35
4.2 二維經驗模態分解之流程 39
4.3 影像後處理之GAMMA校正 43
4.4 色彩補償 45
4.5 實驗流程圖 46
第五章 實驗分析與結果 47
5.1 實驗相關簡介 47
5.2 高對比度影像 50
5.3 低對比度影像 66
5.4 其他影像 74
第六章 結論與建議 88
6.1 結論 88
6.2 建議 90
參考文獻 91
附件一 程式列表 96
參考文獻 References
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