本研究為專注於影像增強技術運用於高分子分散液晶透明顯示器中（Polymer-Dispersed Liquid Crystal (PDLC)）上的影像處理，其為一種製造透明顯示器的材料，而PDLC具有高透明度、低電壓驅動，易於製造等特點，可作為便攜式顯示器使用。
於透明顯示可見的實際影像由輸出影像與背景光等等組成，與原始影像相比有一些缺點，譬如色彩不飽和、低分辨率。簡單影像可以直接增強對比度調整，但複雜的影像常常經調整後會失真和異常，而為了克服這些問題，我們採用影像的霧化模型模擬透明顯示器，暗通道先驗來銳化影像並結合引導濾波來優化暗通道先驗估計的參數，但是這些過程將導致灰階值下降，將會降低部份影像低灰階部份的分辨率，所以我們提出能將目標直方圖區域獨立運算的方法來解決問題。保持其他更較高灰階區域的影像不變，最後可以得到銳化的影像，而其可以適應透明顯示的干擾，達成增強影像的色彩飽和度、分辨率，甚至顯示器的透明度都有所改善，使得於透明顯示器所見的實際影像更接近原始影像，更加清晰明瞭。

This work focus on image enhancement technology for Polymer-Dispersed Liquid Crystal (PDLC) in the transparent display. It is material for making transparent displays. It gets some characteristics, such as surrounding light utilization, high transparency, low power consuming, easy manufacturing, and can be made as the portable display.
The visible image in transparent display constitutes by the output image and backgrounds. Therefore there are some disadvantages, such as unsaturated colors and low resolution. Generally, simple images can directly enhance contrast adjustment but complex images will be distorted and abnormal. In other to conquer these challenges, dark channel prior is employed to sharpen the image and combined with Guided Filtering to improve the quality of the parameter that estimated from dark channel prior. In due to, these processes will lead to the decline total grayscale value, that will decrease image resolution in low grayscale. The algorithm is introduced that can able to histogram equalize the low grayscale parts independently to resolve the problem. Keep the other higher grayscale parts unchanged. The sharpened image can be gotten, which can adapt to the perturbation in the transparent display and make the result more like the original image.

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