A Study on Tone Mapping Assessment for High Dynamic Range Images
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 103 === 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 opera...
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ndltd-TW-103NCKU56520132016-08-22T04:18:00Z http://ndltd.ncl.edu.tw/handle/21995095128756636637 A Study on Tone Mapping Assessment for High Dynamic Range Images 高動態範圍影像色調映射之評測研究 Yung-linWang 王永麟 碩士 國立成功大學 電腦與通信工程研究所 103 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. Shen-Chuan Tai 戴顯權 2015 學位論文 ; thesis 81 en_US |
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碩士 === 國立成功大學 === 電腦與通信工程研究所 === 103 === 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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Shen-Chuan Tai |
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Shen-Chuan Tai Yung-linWang 王永麟 |
author |
Yung-linWang 王永麟 |
spellingShingle |
Yung-linWang 王永麟 A Study on Tone Mapping Assessment for High Dynamic Range Images |
author_sort |
Yung-linWang |
title |
A Study on Tone Mapping Assessment for High Dynamic Range Images |
title_short |
A Study on Tone Mapping Assessment for High Dynamic Range Images |
title_full |
A Study on Tone Mapping Assessment for High Dynamic Range Images |
title_fullStr |
A Study on Tone Mapping Assessment for High Dynamic Range Images |
title_full_unstemmed |
A Study on Tone Mapping Assessment for High Dynamic Range Images |
title_sort |
study on tone mapping assessment for high dynamic range images |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/21995095128756636637 |
work_keys_str_mv |
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