臺灣博碩士論文加值系統

降低雜訊在圖像傳輸中是一個重要的階段，檢測雜訊在圖像中是意想不到的。一個良好降低雜訊的方法可以降低雜訊水平和保存最完整的原始圖像。在本論文中，我們努力找到一個很好的濾波器來降低雜訊，首先，一些雜訊類型和基本的降低雜訊方法。一般的平均濾波器是一個很好降低雜訊的方法，但它可能會使圖像模糊。經典的雙邊濾波器不是一個好的方法來去除椒鹽雜訊，我們修改了光度函數和幾何函數與p-範數的雙邊濾波器，我們證明我們提出的方法與經典的高斯雙邊濾波器來進行比較。

Noise reduction is an important stage during the image transporting pipeline. Detecting noise in an image is unexpected. A good noise reduction method can reduce the noise level and preserve the most of the original parts of the image. In this thesis, we make an effort to find a good filter to reduce the noise. First some noise types and basic noise reduction methods. Usually the mean filter is a good reduction noise function, but it may blur the image. The classical bilateral filter is not a good Method to remove the salt-and-pepper noise. We modified the photometric functions and geometric functions with the p-norm of the bilateral filter. We demonstrate our proposed methods to compare with the classical Gaussian bilateral filter.

摘要 ...........................................I
Abstract ......................................II
致謝 ...........................................III
目錄 ...........................................IV
圖目錄 ........................................VI
表目錄 ........................................VII
第一章 序論.................................1
1.1 研究背景與動機.....................1
1.2 研究目的................................1
1.3 論文架構.................................2
第二章 文獻回顧...........................3
2.1 雙邊濾波器公式及應用介紹...3
2.2 保留邊緣的方法.......................5
2.3 利用自我調整的方法................9
2.4其他方法..................................12
第三章 本文提出的方法................16
3.1 Huang和Fuh [5]的方法..........16
3.1.1 幾何函數..............................16
3.1.2差異總和函數........................16
3.1.3單一差異函數........................17
3.1.4混和功能...............................18
3.2本文的方法...............................19
第四章 實驗結果............................24
第五章 結論與未來工…..................37
參考文獻 ........................................38

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