A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple Devices
Year: 2025
Type: article
Abstract: 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.
Source: Applied Sciences
DOI: 10.3390/app15126915
Institutions: University of Alicante, AkzoNobel (Netherlands)
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
Funder: Universidad de Alicante
OpenAlex ID: W4411453331