Toward Human-Aligned Luminance Measurement for Large-Format LED Displays
Xi Mou, Xiaopeng Peng, Tongsheng Mou

TL;DR
This paper presents a novel 2D imaging luminance meter that closely mimics human eye optics to improve measurement accuracy of LED display luminance, enhancing visual comfort and standardization.
Contribution
Introduction of a human eye-inspired luminance measurement method and a new approach to reduce stray light effects for more precise LED display evaluation.
Findings
The new luminance meter aligns measurements with foveal vision standards.
Stray light mitigation reduces luminance overestimation from 7% to 2%.
Enhanced measurement accuracy supports display design optimization.
Abstract
Direct-view LED displays are widely adopted in large-format applications due to their high luminance and reliability. However, visual comfort and accurate performance evaluation remain challenging due to the complex interaction between pixel luminance, human visual perception, and measurement artifacts. In this work, we introduce a novel 2D imaging luminance meter that replicates key optical parameters of the human eye, including entrance pupil size and angular resolution, to assess perceived pixel luminance. We report comprehensive measurements across various visual field angles and distances and establish a refined luminance metric that aligns with foveal vision standards (1/120 degree). Furthermore, a new method to quantify and mitigate stray light effects significantly improves measurement precision by reducing luminance overestimation from 7\% to 2\%. Our findings provide a…
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Taxonomy
TopicsErgonomics and Musculoskeletal Disorders · Optical Wireless Communication Technologies · Ocular and Laser Science Research
