隨著現代科技進步，人們追求更接近人眼的視覺體驗。高動態範圍成像技術因為可以捕捉到接近人眼所觀察到的亮度範圍而備受關注。近年來行動裝置普及，人們希望利用行動裝置也能拍出具有高動態範圍的影像。由於成本上的考量，在行動裝置上使用具有高動態範圍的感測器並不實際，因此經常是拍攝一組不同曝光的影像後，利用合成的方式取得高動態範圍影像。
這種利用包圍曝光取得高動態範圍影像的方法要求輸入的低動態範圍影像必須靜止且拍攝畫面內沒有移動物體。因此行動裝置高動態範圍影像合成需要克服輸入影像手震及合成影像產生鬼影的問題。本論文提出一個對齊不同曝光值的相片並找出畫面內移動區域的演算法，在重建拍攝場景的輻射率圖時避免參考發生移動的像素值，同時在移動區域保留下利用多次曝光得到的細節。
實驗結果顯示本論文提出的方法可以在動態場景得到不含鬼影的高動態範圍影像，相較一般在移動區使用單一曝光值相片的方法，我們提出的方法在移動區留下更多細節，有助於未來高動態範圍影像在行動裝置的相關發展。

With the rapid development of modern technology, people pursue more realistic visu-al experiences. High dynamic range imaging, which can capture the approximate bright-ness range of the human eye, has been concerned. Because of the popularity of mobile de-vices, it is hoped that using mobile devices can also take high-definition pictures. Due to the expense of high dynamic range (HDR) sensors, many works try to generate HDR im-ages using several low dynamic range (LDR) images with different exposure conditions.
Traditional HDR imaging requires that source LDR images must be static and without object movements. Mobile devices, often without a tripod, can’t prevent hand-arm tremors from happening. We developed a method which simulates the human visual system, mark-ing motion areas in the scene after alignment. Avoid any reference to these areas during recover radiance maps and keep the advantage of using multiple exposures.
Experimental results show that the proposed method can achieve ghost-free HDR images for dynamic scenes. Compared to other methods, our method preserves more de-tails in motion area. It will help the development of HDR imaging in mobile devices in the future.

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