A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple Devices
Color visualization on websites and in apps usually tacitly assumes device-independent sRGB color space, bypassing the essential step of characterization—a process that requires expensive equipment and significant time. This work proposes a pseudo-device-independent approach applicable to Apple disp...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/12/6915 |
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| author | Aurora Larrosa Eric Kirchner Esther Perales Carmen Vázquez Lan Njo Julián Espinosa |
| author_facet | Aurora Larrosa Eric Kirchner Esther Perales Carmen Vázquez Lan Njo Julián Espinosa |
| author_sort | Aurora Larrosa |
| collection | DOAJ |
| description | Color visualization on websites and in apps usually tacitly assumes device-independent sRGB color space, bypassing the essential step of characterization—a process that requires expensive equipment and significant time. This work proposes a pseudo-device-independent approach applicable to Apple displays, one of the most renowned brands in this area, eliminating the need for characterization by leveraging the Mobile Display Characterization and Illumination Model (MDCIM). For this purpose, 11 Apple mobile displays were characterized, analyzing variations in parameters from spectroradiometer measurements and improving their sRGB tone rendering curves. Tested on an iPhone XS Max, the Color for the Average Apple Display model (CAAD) improved reasonable to good color matches from 4.0% to 84.3%, while incorrect matches dropped from 85.3% to 4.9% when compared to sRGB. These results are nearly as strong as those of the device-specific MDCIM, suggesting that an average model is a practical alternative to individual display characterization. |
| format | Article |
| id | doaj-art-4de06ad6b22d421ea9c2efbe656b1bbd |
| institution | Matheson Library |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-4de06ad6b22d421ea9c2efbe656b1bbd2025-06-25T13:26:55ZengMDPI AGApplied Sciences2076-34172025-06-011512691510.3390/app15126915A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple DevicesAurora Larrosa0Eric Kirchner1Esther Perales2Carmen Vázquez3Lan Njo4Julián Espinosa5Department of Optics, Universidad de Alicante, 03690 Alicante, SpainAkzoNobel Research and Development, 1077 WW Sassenheim, The NetherlandsDepartment of Optics, Universidad de Alicante, 03690 Alicante, SpainDepartment of Optics, Universidad de Alicante, 03690 Alicante, SpainAkzoNobel Research and Development, 1077 WW Sassenheim, The NetherlandsDepartment of Optics, Universidad de Alicante, 03690 Alicante, SpainColor visualization on websites and in apps usually tacitly assumes device-independent sRGB color space, bypassing the essential step of characterization—a process that requires expensive equipment and significant time. This work proposes a pseudo-device-independent approach applicable to Apple displays, one of the most renowned brands in this area, eliminating the need for characterization by leveraging the Mobile Display Characterization and Illumination Model (MDCIM). For this purpose, 11 Apple mobile displays were characterized, analyzing variations in parameters from spectroradiometer measurements and improving their sRGB tone rendering curves. Tested on an iPhone XS Max, the Color for the Average Apple Display model (CAAD) improved reasonable to good color matches from 4.0% to 84.3%, while incorrect matches dropped from 85.3% to 4.9% when compared to sRGB. These results are nearly as strong as those of the device-specific MDCIM, suggesting that an average model is a practical alternative to individual display characterization.https://www.mdpi.com/2076-3417/15/12/6915colorimetrycolor sciencevisual appearancepsychophysicssRGBMDCIM |
| spellingShingle | Aurora Larrosa Eric Kirchner Esther Perales Carmen Vázquez Lan Njo Julián Espinosa A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple Devices Applied Sciences colorimetry color science visual appearance psychophysics sRGB MDCIM |
| title | A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple Devices |
| title_full | A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple Devices |
| title_fullStr | A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple Devices |
| title_full_unstemmed | A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple Devices |
| title_short | A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple Devices |
| title_sort | generic model to improve color reproduction accuracy of mobile displays a case study on apple devices |
| topic | colorimetry color science visual appearance psychophysics sRGB MDCIM |
| url | https://www.mdpi.com/2076-3417/15/12/6915 |
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