Premium
8‐2: Sparkle Characterization of Anti‐glare Layers on Displays with a Grey Value Histogram Analysis
Author(s) -
Paz Valeriano Ferreras,
Kohlenbecker Stephan,
Persidis Efstathios
Publication year - 2018
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.12562
Subject(s) - specular reflection , backlight , histogram , luminance , specular highlight , computer science , computer vision , artificial intelligence , characterization (materials science) , compositing , glare , image histogram , optics , computer graphics (images) , reflection (computer programming) , image (mathematics) , materials science , image processing , image texture , physics , layer (electronics) , composite material , liquid crystal display , programming language
Surface treatments on surfaces in front of emissive displays are widely used to improve readability under difficult lightning conditions, especially involving sunlight. So‐called anti‐glare (AG) surface treatment tries to reduce specular reflection by diffuse scattering creating a matt finish. At the same time, this surface treatment has a direct impact on the image quality in transmission. For that it is important to tailor these surfaces according to the application requirements but at the same time maintain the image quality of the underlying displays. One of the undesired effects is the so‐called “visual sparkle”, where the displayed image appears to show an uneven luminance distribution especially in areas where solid colors are shown. Great effort and different approaches have been made to characterize this effect. In this work we present a simple, yet effective approach of characterization based on the evaluation of image uniformity with help of grey value histogram extraction and fitting a simple normal distribution..