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Development of a Neural Network-Based Model to Generate an Absolute Luminance Map of an Interior Using a Camera Raw Image File

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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journal_source_facet IEEE Access
publishDate 2026
publishDateSort 2026
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spellingShingle Development of a Neural Network-Based Model to Generate an Absolute Luminance Map of an Interior Using a Camera Raw Image File
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Development of a Neural Network-Based Model to Generate an Absolute Luminance Map of an Interior Using a Camera Raw Image File
title_auth Development of a Neural Network-Based Model to Generate an Absolute Luminance Map of an Interior Using a Camera Raw Image File
title_full Development of a Neural Network-Based Model to Generate an Absolute Luminance Map of an Interior Using a Camera Raw Image File
title_fullStr Development of a Neural Network-Based Model to Generate an Absolute Luminance Map of an Interior Using a Camera Raw Image File
title_full_unstemmed Development of a Neural Network-Based Model to Generate an Absolute Luminance Map of an Interior Using a Camera Raw Image File
title_short Development of a Neural Network-Based Model to Generate an Absolute Luminance Map of an Interior Using a Camera Raw Image File
title_sort development of a neural network-based model to generate an absolute luminance map of an interior using a camera raw image file
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11424583