A new metric for LED display brightness assessment

Abstract Accurate estimation and brightness‐calibration of individual LEDs in large display walls is crucial to the delivery of high‐quality content. Viewpoint angle and sampling artifacts due to pixelization are key challenges in achieving precise brightness estimation. In this work, we propose a novel metric for assessing brightness accuracy, based on the consistency of brightness estimation between two closely spaced camera viewpoints, which maintain the same angular perspective while altering the camera pixel alignment with the LED grid. Experimental results demonstrate that EBA effectively quantifies the accuracy of any method used to mitigate sampling artifacts.

Authors

Institutions

Publication Details

Journal
Journal of the Society for Information Display
Published
2025-04-13
DOI
https://doi.org/10.1002/jsid.2077
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A new metric for LED display brightness assessment

Mark Lamm, Saed Moradi, Paul Fieguth
Journal of the Society for Information Display
Color Science and Applications
article

A new metric for LED display brightness assessment

Mark Lamm, Saed Moradi, Paul Fieguth
article en

Abstract

Abstract Accurate estimation and brightness‐calibration of individual LEDs in large display walls is crucial to the delivery of high‐quality content. Viewpoint angle and sampling artifacts due to pixelization are key challenges in achieving precise brightness estimation. In this work, we propose a novel metric for assessing brightness accuracy, based on the consistency of brightness estimation between two closely spaced camera viewpoints, which maintain the same angular perspective while altering the camera pixel alignment with the LED grid. Experimental results demonstrate that EBA effectively quantifies the accuracy of any method used to mitigate sampling artifacts.

Journal of the Society for Information DisplayVol. 33(5)
University of Waterloo (CA), Christie (Canada) (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 94%
Color Science and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A new metric for LED display brightness assessment — Mark Lamm, Saed Moradi, et al. · Journal of the Society for Information Display (2025) | TGRS Research Map | TGRS