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|a 10.1109/TIP.2018.2846686
|2 doi
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Song, Qing
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Luminance Enhancement and Detail Preservation of Images and Videos Adapted to Ambient Illumination
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| 264 |
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|c 2018
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Completed 30.07.2018
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| 500 |
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|a Date Revised 30.07.2018
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| 500 |
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|a published: Print
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| 500 |
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a When images and videos are displayed on a mobile device in bright ambient illumination, fewer details can be perceived than in the dark. The detail loss in dark areas of the images/videos is usually more severe. The reflected ambient light and the reduced sensitivity of viewer's eyes are the major factors. We propose two tone mapping operators to enhance the contrast and details in images/videos. One is content independent and thus can be applied to any image/video for the given device and the given ambient illumination. The other tone mapping operator uses simple statistics of the content. Display contrast and human visual adaptation are considered to construct the tone mapping operators. Both operators can be solved efficiently. Subjective tests and objective measurement show the improved quality achieved by the proposed methods
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Cosman, Pamela C
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 27(2018), 10 vom: 03. Okt., Seite 4901-4915
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|x 1941-0042
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|g volume:27
|g year:2018
|g number:10
|g day:03
|g month:10
|g pages:4901-4915
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|u http://dx.doi.org/10.1109/TIP.2018.2846686
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