臺灣博碩士論文加值系統

近年來，鏡頭與顯示器廣泛的使用於車載系統中。由於鏡頭廣角大於鏡片的視野範圍，傳統後照鏡逐漸由鏡頭與顯示器所取代。在夜間駕駛時，由於影像時常因為沒有充足的光線造成視線不佳，而導致駕駛者與用路人的危險。本論文將鏡頭與車用後照鏡整合成鏡頭控制模組，為了將鏡頭控制模與照後鏡整合於FPGA設計PCB電路板連結兩個馬達控制模組以及後照鏡控制，並且提出一個對於低亮度之影像提出一個基於YUV基底之非線性函數作為亮度快速轉換轉換演算法，並實現於Xilinx ZedBoard幀數可達到25fps。而軟體演算法執行時間與亮度增強後影像LOE(Lightness-Order-Error)作為效能評估，將所提出亮度增強演算法與其他文獻亮度增強演算法相比下，執行時間最多可以降低97.5%，而LOE最多可以減少77%。

In recent years, camera and display are widely used on vehicle. Because the camera wide angle is greater than the field of the lens-view, traditional side-mirror gradually replaced by camera and display. When driving at night, the images always suffer from low visibility when captures in low-light conditions, so driver and pedestrians are in danger. In this paper, design of PCB circuit to connect two motor control modules and side-mirror control lines to integrate FPGA, and presents a high-speed method to enhanced low-light image. The proposed brightnss enhanced algorithm is based on YUV space using non-linear transfers function and implemented on hardware for Xilinx ZedBoard to achieve the requirements of 25fps. The software algorithm execution time and brightness enhanced image LOE (Lightness-Order-Error) are used as performance evaluation. Compared with the proposed brightnss enhanced algorithm and others enhanced algorithms, the parameter of execution time and LOE can reduce by up to 97.5%, and 77%, respectively.

摘　要 i
ABSTRACT ii
致 謝 iii
目 錄 iv
表目錄 vi
圖目錄 vii
第一章 緒論 1
1.1 簡介 1
1.2 研究動機 2
1.3 本論文之貢獻 3
1.4 論文架構 3
第二章 相關文獻回顧 4
2.1 對比度增強法 5
2.1.1 Gamma增強法 6
2.1.2 直方圖等化法 8
2.1.3 色調映射 10
2.2 色彩模型介紹 11
2.2.1 RGB模型 12
2.2.2 HSV模型 12
2.2.3 YUV模型 14
2.3 LOE評估函數 17
第三章 照後鏡系統架構與設計 20
3.1 照後鏡系統架構 20
3.2 照後鏡控制電路 23
3.2.1 照後鏡控制線介紹 23
3.2.2 馬達驅動電路 24
3.2.3 照後鏡控制電路設計與實現 26
3.3 鏡頭控制電路設計與實現 30
3.3.1 Data Capture模組 33
3.2.2 Block Memory 模組 35
3.3.3 SCCB 鏡頭控制模組 36
3.3.4 VGA模組 40
3.4 增強式演算法設計與實現 44
3.4.1 基於HSV模型直接增強 44
3.4.2 基於HSV模型驗證於OpenCV 45
3.4.3 基於YUV模型驗證於OpenCV 46
3.4.4 基於YUV模型增強式演算法修正與實現 48
3.4.5 演算法實現於數位電路 51
3.5 亮度仲裁電路設計與實現 55
第四章 實驗結果與分析 57
4.1 系統平台與環境參數 57
4.2 RTL內部電路與實體繞線 57
4.2.1 即時照後鏡系統電路 58
4.2.2 即時低亮度增強之車用後照鏡系統電路 60
4.3 實驗結果與分析 62
4.3.1 增強式演算法設計與實現 62
4.3.2 演算法電路測試與驗證 64
4.4 效能分析與比較 70
第五章 結論與未來研究方向 74
參考文獻 75
附錄：已發表之論文 79

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