臺灣博碩士論文加值系統

影像傳輸時會產生一些雜訊，故去除影像雜訊是很重要的。一般處理的方式為利用中值濾波器，以空間域中鄰近點的中值或平均值來取代，但是會讓影像變模糊。雙邊濾波器是一個受歡迎的去雜訊技術，通過非線性組合的相鄰像素值，可以同時達到保持邊緣與平滑影像而達到去除雜訊。雙邊濾波器的參數的選擇與性能效力是靈敏的。參考他人現有的模式，我們提出一個不同遮罩大小，不同距離公式(範數)修正的雙邊濾波器。

Due to the image transferring in the internet will produce noise, removing image noise is very important.General processing for the use of median filter, median or average of its neighborhood in the spatial domain to replace, but does make image blur. Bilateral filtering is a popular denoising technique that smooths images while preserving edges by means of a non-linear combination of adjacent pixel values. The denoising performance is sensitive to the choice of the bilateral filter parameters. Refer to other existing models, we propose a different working template size, different distance formula ( Norm ) of modified bilateral filter.

摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VI
表目錄 VII
第一章 緒論 1
1.1研究背景與動機 1
1.2研究目的 2
1.3論文架構 2
第二章 文獻回顧 3
2.1傳統雙邊濾波器公式及應用介紹 3
2.2改良式雙邊濾波器方法 5
2.3自我適應雙邊濾波器方法 8
2.4雙邊濾波器的應用相關方法 11
第三章 本文提出的方法 13
3.1 Huang 和 Fuh 與黃改良的方法 13
3.1.1幾何函數 13
3.1.2差異總和函數 14
3.1.3單一差異函數 14
3.1.4混和功能 15
3.1.5雙邊濾波器方法 15
3.2本文的方法 16
第四章 實驗結果 23
第五章 結論與未來工作 42
參考文獻 43

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