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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Main Authors: Yung-linWang, 王永麟
Other Authors: Shen-Chuan Tai
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/21995095128756636637
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spelling 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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description 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.
author2 Shen-Chuan Tai
author_facet 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
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