Predicting Display Visibility Under Dynamically Changing Lighting Conditions.

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Title: Predicting Display Visibility Under Dynamically Changing Lighting Conditions.
Authors: Aydin, Tunç Ozan1, Myszkowski, Karol1, Seidel, Hans-Peter1
Source: Computer Graphics Forum. Apr2009, Vol. 28 Issue 2, p173-182. 10p. 9 Color Photographs, 2 Diagrams, 1 Chart, 3 Graphs.
Subjects: Visibility, Lighting software, Computer graphics research, Computer graphics software, Digital image processing software, Computer vision
Abstract: Display devices, more than ever, are finding their ways into electronic consumer goods as a result of recent trends in providing more functionality and user interaction. Combined with the new developments in display technology towards higher reproducible luminance range, the mobility and variation in capability of display devices are constantly increasing. Consequently, in real life usage it is now very likely that the display emission to be distorted by spatially and temporally varying reflections, and the observer's visual system to be not adapted to the particular display that she is viewing at that moment. The actual perception of the display content cannot be fully understood by only considering steady-state illumination and adaptation conditions. We propose an objective method for display visibility analysis formulating the problem as a full-reference image quality assessment problem, where the display emission under “ideal” conditions is used as the reference for real-life conditions. Our work includes a human visual system model that accounts for maladaptation and temporal recovery of sensitivity. As an example application we integrate our method to a global illumination simulator and analyze the visibility of a car interior display under realistic lighting conditions. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Predicting Display Visibility Under Dynamically Changing Lighting Conditions.
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  Data: <searchLink fieldCode="AR" term="%22Aydin%2C+Tunç+Ozan%22">Aydin, Tunç Ozan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Myszkowski%2C+Karol%22">Myszkowski, Karol</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Seidel%2C+Hans-Peter%22">Seidel, Hans-Peter</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Apr2009, Vol. 28 Issue 2, p173-182. 10p. 9 Color Photographs, 2 Diagrams, 1 Chart, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Visibility%22">Visibility</searchLink><br /><searchLink fieldCode="DE" term="%22Lighting+software%22">Lighting software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+research%22">Computer graphics research</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+software%22">Computer graphics software</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+processing+software%22">Digital image processing software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink>
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  Data: Display devices, more than ever, are finding their ways into electronic consumer goods as a result of recent trends in providing more functionality and user interaction. Combined with the new developments in display technology towards higher reproducible luminance range, the mobility and variation in capability of display devices are constantly increasing. Consequently, in real life usage it is now very likely that the display emission to be distorted by spatially and temporally varying reflections, and the observer's visual system to be not adapted to the particular display that she is viewing at that moment. The actual perception of the display content cannot be fully understood by only considering steady-state illumination and adaptation conditions. We propose an objective method for display visibility analysis formulating the problem as a full-reference image quality assessment problem, where the display emission under “ideal” conditions is used as the reference for real-life conditions. Our work includes a human visual system model that accounts for maladaptation and temporal recovery of sensitivity. As an example application we integrate our method to a global illumination simulator and analyze the visibility of a car interior display under realistic lighting conditions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1111/j.1467-8659.2009.01356.x
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 173
    Subjects:
      – SubjectFull: Visibility
        Type: general
      – SubjectFull: Lighting software
        Type: general
      – SubjectFull: Computer graphics research
        Type: general
      – SubjectFull: Computer graphics software
        Type: general
      – SubjectFull: Digital image processing software
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      – SubjectFull: Computer vision
        Type: general
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      – TitleFull: Predicting Display Visibility Under Dynamically Changing Lighting Conditions.
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            NameFull: Aydin, Tunç Ozan
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            NameFull: Myszkowski, Karol
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            NameFull: Seidel, Hans-Peter
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            – D: 01
              M: 04
              Text: Apr2009
              Type: published
              Y: 2009
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