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Influence of pixel‐structure noise on image resolution and color for matrix display devices
Author(s) -
Chen LiMing,
Hasegawa Shin
Publication year - 1993
Publication title -
journal of the society for information display
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 52
eISSN - 1938-3657
pISSN - 1071-0922
DOI - 10.1889/1.1984844
Subject(s) - pixel , artificial intelligence , noise (video) , computer vision , dark frame subtraction , computer science , color image , image (mathematics) , image processing , median filter
— In matrix display devices, image quality is influenced by pixel‐structure noise (fixed‐pattern noise) originating from the pixel arrangement. The influence of this noise on image resolution and color is investigated for four types of color pixel arrangements. Spatial Nyquist limits (SNLs) based on pixel reciprocal lattices are first applied to determine the primary resolution of these devices. Then actual visual resolution limits (VRLs), which are obtained by subjectively evaluating sinusoidal patterns displayed on simulated displays, are compared to the SNLs in order to assess quantitatively the color pixel arrangements. The ratios of VRLs to SNLs (corresponding to the Kell factors) are 0.6–0.7 for white patterns, but only 0.5–0.6 for patterns of one of the three primary colors due to pixel‐structure noise. A subjective evaluation of color‐bar patterns of ten colors shows that image colors, especially greenish colors, are influenced by the pixel‐structure noise.