臺灣博碩士論文加值系統

隨著數位影像日漸的普及廣泛的應用，如互動藝術，舞台表演等。為了滿足應用上的需求，改善影像的品質變得很重要。本論文把一個快速的灰階影像雜訊處理的方法，改良應用在彩色影像中，根據色彩空間轉換後的影像特性使用不同參數的演算法，以求得出一個快速及效果不錯的方法。最後根據實驗結果可知，本文所提出的方法可有效率消除高斯雜訊並保留一定的影像細節。

Due to the population of digital image and the broadening usage of digital image data, like interactive installation art, performance art, etc. In order to fulfill the requirements, improving the quality of digital images is very important. In this thesis, we apply a fast monochrome image noise reduction method to color images. We improve the method by adjusting parameters due to different properties of different color space layers. This thesis propose a fast and proper method for color image noise reduction, which is efficient removing Gaussian noise without blurring much image detail.

摘要 vi
Abstract vii
誌謝 viii
表目錄 x
圖目錄 xi
第1章 緒論 1
1.1 簡介 1
1.1.1 數位影像表示法 1
1.1.2 雜訊種類與模型 2
1.1.2.1 高斯雜訊 2
1.1.2.2 均勻雜訊 3
1.1.2.3 脈衝雜訊 3
1.1.3 雜訊評估 4
1.1.4 雜訊消除 4
1.2 研究動機與目的 6
1.3 章節說明 7
第2章 雜訊評估與消除技術 8
2.1 雜訊評估 8
2.2 雜訊消除 10
2.3 色彩模型 11
2.3.1 CIE RGB與XYZ色彩空間 12
2.3.2 CIE xy 色彩空間 14
2.3.3 CIE u''v''色彩空間 15
第3章 研究方法 17
3.1 空間轉換 18
3.2 雜訊評估 19
3.3 雜訊消除 21
第4章 實驗結果 25
4.1 處理效果 25
4.1.1 人工產生雜訊的影像 25
4.1.2 現成影像 36
4.2 計算速度 41
第5章 結論及未來展望 42
5.1 結論 42
5.2 未來展望 43
參考文獻 44

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