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17.1: Comparison of Motion‐Blur Measurement Methods
Author(s) -
Watson Andrew B.
Publication year - 2009
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 - 10.1889/1.3256742
Subject(s) - motion blur , computer vision , motion (physics) , artificial intelligence , set (abstract data type) , property (philosophy) , computer science , computer graphics (images) , image (mathematics) , philosophy , epistemology , programming language
Motion blur is a significant display property for which accurate, valid, and robust measurement methods are needed. Recent motion blur measurements of a set of eight displays by a set of six measurement devices provided an opportunity to evaluate techniques of measurement and analysis. We found significant discrepancies between instruments, and variability within instruments.