由於多媒體應用和數位視訊的快速發展，多媒體視訊變得越來越受歡迎。隨著人們對於圖像及影像的色彩品質越來越要求，高動態範圍影像已經顯然成為一個不可或缺的技術。在真實的世界中，景色的亮度差異是非常大的。我們的人眼可以同時觀察到整張影像的亮部與暗部。然而現在的相機，由於各種自動曝光、對焦演算法的規範下，即便能存取夠大的動態範圍，也很難在同一張照片中自動的分配適當的亮度。
在本篇論文中，我們提出一個與傳統高動態範圍製作不一樣的概念。隨著現今數位感光元件和記憶體技術的進步，大量的紀錄所謂的RAW影像已經不是遙不可及的事情。由於人類的動態範圍大約是10-14級，然而RAW影像內含可記錄的動態範圍大約也為12-14級。因此利用這個概念，我們可以發展出一套針對動態物件拍攝的高動態範圍影像，可以完全改善掉過去演算法無法建立動態物件的高動態範圍影像的問題。最後將會把整個流程，以軟硬體協同合作，實現其單晶片架構探索。
實驗結果顯示我們提出的方法可以有效地得到動態物件的高動態範圍影像，未來將有助於高動態範圍影片及即時同步的相關發展。

Owing to the rapid development of multimedia applications and digital video, the multimedia video has become more and more popular. As people demand that the color quality of images and videos increasingly, High Dynamic Range Image has apparently become an indispensable technology. In real world, the dynamic range is quite high. Human Visual System can accommodate high dynamic range. However digital camera due to the auto exposure algorithm and auto focus algorithm, even it can record large dynamic range, it is difficult in the same photo automatically assign the appropriate brightness.
In this thesis, we propose a novel method for creation of High Dynamic Range Image. Because of the progress of the CCD/CMOS and Memory technology, record a lot of RAW images is feaxible. Because the human dynamic range is about 10 – 14 stops, and the RAW image can record the dynamic range is about 12 – 14 stops. Hence, we can develop a method for High Dynamic Range creation for dynamic objects which is better than the tradition algorithm defect. Finally, we will explore the SOC architecture for this new approach.
Simulation results show that our proposed algorithm can achieve the HDR image for dynamic objects, it will help HDR video and real-time development in the future.

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