本篇論文使用影像增強之方法，加強影像中過暗及過亮處，並於iOS為作業系統之iPhone 4S上實現。藉由將色階分布圖（Color Histogram）切割為五部分，並根據色階分布圖分布情形為強化程度之基準，使用直方圖均衡化法（Histogram Equalization）結合線性插值法（Linear Interpolation）成為適應性五分直方圖均衡化法（Adaptive Pentachotomy Histogram Equalization, APHE）做影像增強處理，使圖像中過暗處能夠清楚呈現，過亮處能夠不失真，再與三分直方圖均衡化法（Trichotomy Histogram Equalization, THE）以及專業相片處理軟體之Adobe Photoshop Lightroom所自動處理之影像做比較，同時以基本影像評估方法做影像評估，最後撰寫iOS程式於Apple iPhone 4S上使用，在運算效能測試方面為與iOS應用程式之Adobe Photoshop Express做比較。

This thesis uses an Image Enhancement method to enhance the over-dark and over-bright zone of an image and implements it on iPhone 4S which Operation System is iOS. The method divides the distribution of Color Histogram into five segments, and sets the degree of enhancement according to the distribution of Color Histogram, then uses Histogram Equalization combining Linear Interpolation to form Adaptive Pentachotomy Histogram Equalization. This will enhance the over-dark zone of the image to make it clearer, and will not distort the over-bright zone. In addition, I compared my method with Trichotomy Histogram Equalization and Adobe Photoshop Lightroom. And use basic Image Assessment to assess the image. At last, program an iOS application and run it on iPhone 4S. On the other hand, operating performance test is compared with the Adobe Photoshop Express application.

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