當高動態範圍顯示器成為未來的趨勢，高動態範圍影片的需求將增加，但現
有的影片大多為傳統的低動態範圍影片。為了迎合此趨勢，我們提出一個偽多重
曝光的區域增強演算法來利用低動態範圍影片產生高動態範圍影片，利用產生偽
多重曝光的影像並結合不同區域清晰的細節，我們可以得到一高品質的高動態範
圍影片。我們也提出了一個亮光圖並與最暗偽曝光的影像作內插來進一步增強高
亮度的區域。
跟不同方法的比較並作定性分析的結果顯示我們的方法在高動態範圍亮度
有較平穩的表現並能避免影片閃爍的問題，並且我們提出的方法可以在很短的時
間內產生視覺上高品質的高動態範圍影片，根據與參考圖比較得出的對比變化值，
我們的值為最小的。我們產生的亮光圖的速度為Rempel 等人的方法的78 倍快，
並且是Banterle 等人的方法的286 倍速快。

As the high dynamic range displays becoming the future trend, the need for HDR
videos increases. However, most videos nowadays are the legacy low dynamic range
(LDR) videos. In order to meet this trend, we proposed a region-based enhancement
of the pseudo-exposures to generate a HDR video out of an existing LDR video. By
the generation of pseudo-multiple-exposure images and the fusion of different regions
with clear details, we can get a high-quality HDR video sequence. We also proposed a
specular map to further enhance the high-luminance areas by interpolate with the
darkest pseudo-exposure image.
We compare our method with other inverse tone mapping operators, and several
evaluations show that our method has a more stable performance in HDR luminance
and avoids flickering artifacts. Also, our proposed method is able to generate visually
high quality HDR videos with a small amount of time, which could be shown in the
smallest value of overall contrast change comparing to the reference images. The
generation of our specular map is 78x faster than Rempel et al.’s expand map and
286x faster than Banterle et al.’s map.

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