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Motion‐blur characterization on liquid‐crystal displays
Author(s) -
Song Wen,
Li Xiaohua,
Zhang Yuning,
Qi Yike,
Yang Xiaowei
Publication year - 2008
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 - 10.1889/1.2918077
Subject(s) - motion blur , backlight , computer vision , liquid crystal display , artificial intelligence , computer science , luminance , impulse response , frame rate , optics , sensitivity (control systems) , impulse (physics) , physics , mathematics , image (mathematics) , mathematical analysis , electronic engineering , engineering , quantum mechanics
— In this paper, several methods to characterize motion blur on liquid‐crystal displays are reviewed. Based on the assumptions of smooth‐pursuit eye tracking and one‐frame temporal luminance integration, a simple algorithm has been proposed to calculate the normalized blurred edge width (N‐BEW) and motion‐picture response time (MPRT) with a one‐frame‐time moving‐window function to LC temporal step response curves. A custom measurement system with a fast‐eye‐sensitivity‐compensated photodiode has been developed to characterize motion blur based on LC response curves (LCRCs). MPRT values obtained by using the algorithm mentioned above and those from the smooth‐pursuit‐camera methods agree. Perception experiments were conducted to validate the correspondence between the simulated results and actual perceived images by the human eyes. In addition, the insufficiency of MPRT to evaluate motion blur on impulse‐type light‐generation LCDs, by analyzing the measurement results of a scanning backlight LCD, is discussed.