Literature DB >> 26636395

Colorimetric Characterization of Mobile Devices for Vision Applications.

Dolores de Fez1, Maria José Luque, Maria Carmen García-Domene, Vicente Camps, David Piñero.   

Abstract

PURPOSE: Available applications for vision testing in mobile devices usually do not include detailed setup instructions, sacrificing rigor to obtain portability and ease of use. In particular, colorimetric characterization processes are generally obviated. We show that different mobile devices differ also in colorimetric profile and that those differences limit the range of applications for which they are most adequate.
METHODS: The color reproduction characteristics of four mobile devices, two smartphones (Samsung Galaxy S4, iPhone 4s) and two tablets (Samsung Galaxy Tab 3, iPad 4), have been evaluated using two procedures: 3D LUT (Look Up Table) and a linear model assuming primary constancy and independence of the channels. The color reproduction errors have been computed with the CIEDE2000 color difference formula.
RESULTS: There is good constancy of primaries but large deviations of additivity. The 3D LUT characterization yields smaller reproduction errors and dispersions for the Tab 3 and iPhone 4 devices, but for the iPad 4 and S4, both models are equally good. The smallest reproduction errors occur with both Apple devices, although the iPad 4 has the highest number of outliers of all devices with both colorimetric characterizations.
CONCLUSIONS: Even though there is good constancy of primaries, the large deviations of additivity exhibited by the devices and the larger reproduction errors make any characterization based on channel independence not recommendable. The smartphone screens show, in average, the best color reproduction performance, particularly the iPhone 4, and therefore, they are more adequate for applications requiring precise color reproduction.

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Year:  2016        PMID: 26636395     DOI: 10.1097/OPX.0000000000000752

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN: 1040-5488            Impact factor:   1.973


  3 in total

1.  New iPAD-based test for the detection of color vision deficiencies.

Authors:  Dolores de Fez; María José Luque; Lucía Matea; David P Piñero; Vicente J Camps
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2018-10-06       Impact factor: 3.117

2.  ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children.

Authors:  Teresa Tang; Leticia Álvaro; James Alvarez; John Maule; Alice Skelton; Anna Franklin; Jenny Bosten
Journal:  Behav Res Methods       Date:  2021-08-31

Review 3.  Improving the Sensitivity and Functionality of Mobile Webcam-Based Fluorescence Detectors for Point-of-Care Diagnostics in Global Health.

Authors:  Reuven Rasooly; Hugh Alan Bruck; Joshua Balsam; Ben Prickril; Miguel Ossandon; Avraham Rasooly
Journal:  Diagnostics (Basel)       Date:  2016-05-17
  3 in total

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