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14.1: Comparison of Blur Edge Time and Gaussian Edge Time as Measures of Motion Blur
Author(s) -
Tourancheau Sylvain,
Brunnström Kjell,
Watson Andrew B.,
Andrén Börje
Publication year - 2010
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 - 10.1889/1.3500346
Subject(s) - motion blur , gaussian blur , enhanced data rates for gsm evolution , computer vision , artificial intelligence , gaussian , metric (unit) , motion (physics) , gaussian function , computer science , mathematics , image (mathematics) , image restoration , physics , image processing , engineering , operations management , quantum mechanics
Blur Edge Time has been shown to be a reasonable metric for characterisation of motion blur of LCD displays. It can be estimated by taking the 10% to 90% level of the Moving Edge Temporal Profile or by using the standard deviation of a fitted cumulative Gaussian function. In this paper we will compare these two ways of estimating the Blur Edge Time. Ultimately the usefulness of these metrics of motion blur is whether they are good predictors of perceived motion blur.