85‐3:  Distinguished Student Paper:  Image‐Content‐Adaptive Color Breakup Index for Field‐Sequential‐Color Displays Using Dominant Visual Saliency Method | Zendy

Lin Ying-Ju | Zendy; Qin Zong | Zendy; Lin Fang-Cheng | Zendy; Shieh Han-Ping D. | Zendy; Huang Yi-Pai | Zendy

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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.

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