隨著科技的演進，人們對於影像品質的需求也越來越高。高動態範圍影像是一種可以儲存較多影像資訊的檔案格式，它的特點是可以在影像上呈現出較多的細節。但在一般顯示器上顯示會因為有限的位元深度而讓影像無法完整呈現，然而這個問題雖然可以在高端顯示器上獲得解決，但成本花費比較高。
在本論文中，我們提出一個以人眼視覺為基礎的演算法對高動態範圍影像做色調映射與對比強化，使高動態範圍影像在一般顯示器上可以有良好的視覺品質呈現。主要架構分成兩大部分:第一部分是處理輸出入部分，可處理的檔案包含(raw、hdr、bmp、tif)，解析檔案格式與位元深度後，將其轉換色彩空間處理。接著對影像作色調重建，使用一非線性的色調對應方法對整張影像做處理，取得人眼視覺可接受的影像。第二部分是將影像做對比強化，讓細節的部分增強並強化對比，其作法主要是將整張影像切成多個不重疊的區塊，依照每個區塊的特性分別做不同程度的對比強化，並且參考鄰近區塊像素映射作加權平均，消除可能出現的方塊效應，得到最後輸出影像。除此之外，演算法也被重構以運用於太空影像即時處理。實驗結果發現，經由所提出的演算法處理過後的影像具有良好的視覺感受。

With the advance of technology, people are demanding on the quality of image. High dynamic range(HDR) is a kind of image format which can maintain more information than ordinary image. Even though the HDR image can display on high-end monitor directly, but the cost of high-end monitor should be considered. In this thesis, an adaptive tone reproduction algorithm based on human visual system is proposed to make the HDR image display on ordinary monitor with good visual quality. The architecture of the proposed algorithm composed of two main parts: Firstly, the format of the image is detected and data values are extracted. Next, a tone mapping curve is applied to make the image visible. Secondly, a local contrast enhancement method is applied. In the local part of the algorithm, the whole image is divided into a number of non-overlapping blocks, each of them is adjusted according to the characteristics of the block followed by a distant weighting function to eliminate blocking effect. In addition to HDR natural image processing, the proposed algorithm is refactored to apply on aerial image processing. The result shows that the proposed algorithm can produce low dynamic range(LDR) images with good visual quality.

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