A Color Characterization Model for APL Dependent OLED Displays

Several studies in the past have proposed models to characterize the colorimetry of displays, most of which have poor performance for OLED displays. This is primarily due to the dependency of the colorimetry of OLED panels on the Average Pixel Level (APL) of the content displayed on them. In this study, a workflow is proposed to characterize the colorimetry of APL dependent OLED panels based on the power consumption of actual pixel-content of the displayed scene. The method performed well with a mean of mean CIEDE2000 of 19 natural images as 2.18 units.

Authors

Publication Details

Journal
Color and Imaging Conference
Published
2024-10-28
DOI
https://doi.org/10.2352/cic.2024.32.1.5
Citations
1
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
0.34
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article

A Color Characterization Model for APL Dependent OLED Displays

Pooshpanjan Roy Biswas, Thibault Cabana, Adrien Carmone
1 citations
Color and Imaging Conference
Color Science and Applications
0.34
article

A Color Characterization Model for APL Dependent OLED Displays

Pooshpanjan Roy Biswas, Thibault Cabana, Adrien Carmone
article en
1 citations

Abstract

Several studies in the past have proposed models to characterize the colorimetry of displays, most of which have poor performance for OLED displays. This is primarily due to the dependency of the colorimetry of OLED panels on the Average Pixel Level (APL) of the content displayed on them. In this study, a workflow is proposed to characterize the colorimetry of APL dependent OLED panels based on the power consumption of actual pixel-content of the displayed scene. The method performed well with a mean of mean CIEDE2000 of 19 natural images as 2.18 units.

Color and Imaging ConferenceVol. 32(1)
Affordable and clean energy
Openalex Percentile: Top 37%
Color Science and Applications
0.34
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A Color Characterization Model for APL Dependent OLED Displays — Pooshpanjan Roy Biswas, Thibault Cabana, et al. · Color and Imaging Conference (2024) | TGRS Research Map | TGRS