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85‐3: Distinguished Student Paper: Image‐Content‐Adaptive Color Breakup Index for Field‐Sequential‐Color Displays Using Dominant Visual Saliency Method
Author(s) -
Lin Ying-Ju,
Qin Zong,
Lin Fang-Cheng,
Shieh Han-Ping D.,
Huang Yi-Pai
Publication year - 2018
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.12104
Subject(s) - breakup , computer science , computer vision , artificial intelligence , index (typography) , field (mathematics) , content (measure theory) , computer graphics (images) , mathematics , psychology , world wide web , psychoanalysis , pure mathematics , mathematical analysis
Proposing an unprecedented color breakup (CBU) evaluation index based on dominant visual saliency of natural images for field‐sequential‐color displays, this paper achieves a linear correlation coefficient of 0.82 between subjective and objective CBU visibilities. Consequently, this study is promising for being a criterion to assess CBU in FSC‐related devices—low power and virtual/augmented reality displays.