臺灣博碩士論文加值系統

近年來色彩轉換相關研究以影像的轉換為主，在視訊的應用相對較少。因此本研究發展一套可以轉換影像與視訊色彩樣式的系統。在影像轉換方面使用Otsu二值化方法來進行轉換區域的分割，此方法能有效改善目標影像與參考影像物件之間的顏色對應關係。在視訊轉換部份，我們延伸Reinhard等人的影像轉換方法來進行視訊轉換實驗；在實驗的過程中發現，此演算法能有效地對簡單場景變化的視訊進行色彩樣式轉換，我們稱之為「單一場景視訊色彩樣式轉換演算法」。在本研究中提出「可調適視訊色彩樣式轉換演算法」，此演算法在轉換的過程中必須使用兩張參考影像來對目標視訊進行色彩轉換，其結果會產生隨著時間變化色彩樣式的影像序列特效。透過人類感官經驗評估後，在轉換效果方面有良好的結果，此實驗成果可以應用於視訊特效生成或視訊場景模擬等領域。

With the popularization of the digital photography equipments, it becomes more and more convenient to acquire digital images and videos. Owing to the characteristics of being easily corrected and edited, the demand of image processing rises continuously. In the domain of image processing, color transfer is a novel skill of color processing. As image transfer is concerned, this study introduces an easy and fast method on image transfer as well as two interesting ways of video transfer. The study aims at enhancing the color matching relationship between a target image and a reference image. Referring to video transfer, the first proposed method is Single Scene Color Transfer for Video Algorithm. This algorithm aims at proceeding to develop color style transfer in accordance with the scenery video of single scene. The said algorithm has advantages of simplicity and high efficiency as a result of deriving from Reinhard et al.’s method. The second proposed method is Adaptability Color Transfer for Video Algorithm. This algorithm aims at producing special effect of moderating the variation of color style with time. Finally, the results of the experiment provide the strong support for the proposed methods.

第一章 緒論 1
1.1 研究背景 1
1.2 研究動機與目的 3
1.3 研究架構 5
第二章 文獻探討 6
2.1 lαβ色彩空間 6
2.2 彩色影像色彩轉換 9
2.3 影像序列色彩轉換 12
2.4 影片色彩樣式轉換 15
2.5 Otsu二值化 16
第三章 影像與視訊色彩樣式轉換 18
3.1 lαβ色彩空間的轉換 19
3.2 平均值與標準差 21
3.3 多層次影像色彩樣式轉換演算法 21
3.4 視訊影片分割 23
3.5 單一場景視訊色彩樣式轉換演算法 24
3.6 可調適視訊色彩樣式轉換演算法 26
第四章 實驗結果與分析 28
4.1 實驗環境 28
4.2 多層次影像色彩樣式轉換實驗 29
4.3 單一場景視訊色彩樣式轉換實驗 38
4.4 可調適視訊色彩樣式轉換實驗 46
第五章 結論與未來展望 55
參考文獻 57

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