近年來，高動態範圍影像壓縮已成為一個熱門的研究議題。高動態範圍影像
壓縮又稱為HDR色調映射(HDR Tone-Mapping)，是把高動態範圍的影像，常被
稱為HDR影像或HDRI，映射到只能顯示和處理低動態範圍影像(常被稱為LDR影
像或LDRI)的裝置，如LCD或CRT顯示器。HDR色調映射主要的目的是希望壓縮
過後的影像能盡量保有原來的資訊，並且能有影像強化的效果，達到人眼能觀
察到的最好狀態。然而，由於壓縮前後的影像的動態範圍並不一樣，所以當要
評測HDR色調映射效果的時候，一般客觀的影像評測指標，如MSE、PSNR等指
標並非適用。2013年Hojatollah Yeganeh和Zhou Wang提出針對HDR色調映射的指標-Tone Mapping Quality Index，簡稱TMQI，被視為這種處理前後動態範圍不同影像的評測中相當具有代表性的指標。本篇將透過文獻回顧選出比較具有代表性的HDR色調映射的7個演算法，並找出曾用在HDR色調映射或新提出的客觀評測指標來比較各種演算法的效果；除此之外也設計了一個基於影像特徵主觀的實驗，透過人眼來觀察各演算法在不同類型的影像表現的優劣；最後將主觀結果和和客觀分數相比較，分析出客觀指標和影像特徵的關聯性。

High dynamic range image compression, otherwise known as high dynamic range(HDR) tone mapping, is a popular topic of research in image processing. Most display devices can only process low dynamic range (LDR) images; therefore, suitable HDR tone mapping operators are required for the presentation of HDR images. Unfortunately,HDR tone mapping alters the dynamic range of LDR images, making general image quality indexes, such as MSE and PSNR, unsuitable. Yeganeh and Wang (2013)therefore proposed the tone mapping quality index (TMQI), outlining the criteria by
which to assess HDR tone mapping. This article addresses seven existing tone mapping operators as representative examples of the techniques commonly used in HDR tone
mapping. We reviewed the objective assessment indexes used in HDR tone mapping and employed them to compare the seven operators. We also examined specific examples to evaluate the operators according to image attributes. Finally, we sought to quantify the correlation between image attributes and image quality indexes for HDR in order to assess tone mapping methods.

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