本論文使用COB全光譜光源、多光色LED照明模組，並透過補償光色演算法創建一具備還原水下目標物色彩之LED光色補償照明燈具，以改善水下圖像色調偏藍、灰等色差問題。其中智慧補償光色演算法是透過不同波長於水下傳遞的衰減率，計算所需補償之光能量並利用MCU微控制器控制電流以調整LED照明光源，並利用不同增強係數調整特定光色輸出，而本論文所使用水下色彩量化評估方法，亦是將水下圖像利用python軟體，將CIELab色彩模型推算L*、a*、b*值，再以Euclidean Distance (ΔE)為顏色量化之依據，並透過分析色彩座標a*、b*值找出造成色偏之原因，最後比較六種光色增強方法並建構水下數據庫，並選擇最佳調光方法進行濁度觀測實驗與長距離觀測實驗，將結果分析於紅、綠、藍、黃四個色塊。於長距離觀察其色彩還原能力，由實驗數據顯示，在水下5m時，藍色色塊以白光+增強彩補之顏色還原率提高11.4%；綠色色塊之顏色還原率提高40.8%；紅色色塊之顏色還原率提高24.4%；黃色色塊之顏色還原率提高17.6%。水下10m時，於藍色色塊顏色還原率提高35%；綠色色塊顏色還原率提高40%；紅色色塊顏色還原率提高6.7%；黃色色塊顏色還原率提高24.9%，由此結果可驗證本研究設計之演算法及本論文燈具能有效改善水下物體之演色性，最後將LED光色補償系統掛載於水下載具，可提高水下目標物的識別、監控、探勘與觀測之能力。

This thesis utilizes a COB full-spectrum light source and a multi-color LED lighting module to create an LED color compensation system. To improve the color distortion issues such as blue and gray tones present in underwater images. The intelligent color compensation algorithm calculates the required compensatory light energy based on the attenuation rate of different wavelengths underwater, the underwater color quantification evaluation method used in this thesis involves processing underwater images with Python software to derive the L*, a*, and b* values in the CIELab color model. The Euclidean Distance (ΔE) is used as the basis for color quantification, and by analyzing the a* and b* color coordinates, the causes of color deviation are identified, the thesis compares six methods of color enhancement and constructs an underwater database to select the best dimming method for conducting turbidity observation experiments and long-distance observation experiments on four color blocks: red, green, blue, and yellow. At 10 meters underwater, the color restoration rate increased by 35% for the blue color block; 40% for the green color block; 6.7% for the red color block; and 24.9% for the yellow color block. These results verify that the designed algorithm and the lighting fixture in this thesis effectively improve the color rendering of underwater objects. Finally, the LED color compensation system is mounted on an underwater vehicle, enhancing its capability for identifying, monitoring, exploring, and observing underwater targets.

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