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57‐2: A New Approach to Motion Frequency Metrics Quantifies Motion‐induced Blur
Author(s) -
Stolitzka Dale,
Chong Jong-Ho,
Xiong Wei,
Lee ChangHee,
Kwag Jinoh
Publication year - 2020
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.14002
Subject(s) - motion blur , computer vision , artificial intelligence , motion (physics) , luminance , computer science , metric (unit) , frame rate , process (computing) , enhanced data rates for gsm evolution , frame (networking) , image (mathematics) , engineering , telecommunications , operations management , operating system
An objective metric has been created to characterize motion blur for equipment makers and product reviewers. This procedure can directly measure moving‐edge blur and process images to account for eye pursuit, frame rate and luminance. The advancement produces a motion frequency value that can be readily understood by the consumer.