臺灣博碩士論文加值系統

本研究透過影像強化改善高動態範圍影像的細節資訊問題，系統能夠根據視訊影像品質的優劣自動適當強化視訊影像，並建立一個適應性視訊增強濾波器。本研究著重於影像強化技術與結合蒙地卡羅模擬演算法達到影像的最佳品質之研究，運用雙向濾波器對於高動態範圍影像的處理優勢，並結合蒙地卡羅演算法的特性以找出合適的雙向濾波器演算法之最佳化參數設定範圍，藉此獲得最佳影像品質的優質影像，並建立一個適應性視訊增強濾波器系統，使影像品質提升。

The purpose of this study is to improve the details of high dynamic range image through the image enhancement. The system can automatically enhance video image according to the type of image and establish the adaptive video enhancement filters. This study focuses on the image enhancement and combines with the Monte Carlo Simulation Algorithm to enhance the quality of the image. This study utilizes the advantage of the bilateral filter for high dynamic range image proessing, and combines with the advantage of the Monte Carlo Simulation Algorithm to find the proper approach of finding the optimized parameters, and make the quality of the image become higher.

中文摘要 I
Abstract II
圖目錄 V
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 研究架構 2
第二章 文獻探討 3
2.1 影像增強演算法 3
2.2 雙向濾波器 4
2.3 蒙地卡羅模擬演算法 8
2.4 影像結構相似度評估法SSIM 10
第三章 研究方法與步驟 14
3.1 雙向濾波器參數探討 14
3.1.1 雙向濾波器之參數：鄰近區域大小|Nx| 14
3.1.2 雙向濾波器之參數：距離特性參數σs 15
3.1.3 雙向濾波器之參數：灰階值差異性特性參數σi 16
3.2 結合蒙地卡羅與雙向濾波器之影像增強演算法 17
3.2.1 結合蒙地卡羅與雙向濾波器 17
3.2.2 蒙地卡羅法之實驗測試 18
3.3 影像品質評估 18
第四章 實驗驗證與分析 20
4.1 實驗驗證 21
4.1.1 直方圖調整之餘準則 22
4.1.2 結合雙向濾波器與蒙地卡羅方法之影像增強實驗結果 23
4.2 粗略影像之雙向濾波器參數分析 25
4.2.1 K-means方法 26
4.2.2 參數|Nx|之分析 27
4.2.3 參數σs之分析 28
4.2.4 參數σi之分析 29
4.3 實驗成果 30
第五章 結論 33
參考文獻 34
附錄一 實驗結果與數據 A-1
附錄二 蒙地卡羅模擬法之實驗結果-粗略影像之數據 B-1
附錄三 口試問題與回答 C-1

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