高動態範圍，簡稱HDR，是指場景中最高輻射度值跟最低輻射度值的範圍。人
眼對於場景的色彩敏感比例通常是100,000,000:1，而相機因礙於硬體的限制通常是
1000:1 。為了將場景的影像能貼近甚至等同人眼所觀察到的感知動態範圍，HDR 會
將多張影像依據其曝光度來儲存多張影像的資訊。最後再依據tone mapping 使得該像
素點的值得以重現。然而在進行多張影像合成時，往往會因為拍攝時間不同，而造成
人為與自然的變素。因此多張圖片在合成時會進行對齊等前置工作。
本篇論文主要探討對齊多張不同動態範圍的影像。利用Speeded Up Robust
Features，簡稱SURF，擷取並比對特徵點。接著利用這些特徵點來建立Affine 矩陣
來對齊影像。最後合成出高動態範圍的結果。

High dynamic range, HDR, means the range of the maximum and the minimum
radiance value in scene. The sensitivity of human eyes is usually 100,000,000:1, but
camera limited by hardware storage memory is usually 1000:1. In order to make images in
scene close to observation with human eyes, HDR will store the information of images
which are based on their exposure time. Finally, with tone mapping, the value of pixel of
image will be rebuilt. However, process to synchronize the multiple images generates the
human and natural factors caused by different filming time. Therefore, before multiple
images are synchronized, they will align first.
In this paper, we discuss alignment about different dynamic range images. With
Speeded Up Robust Features, SURF, we extract the feature points from images and match
these points. Next, we build affine transform to align these images with feature points.
Finally, the result of high dynamic range will be synchronized.

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