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P‐79: Principal Component Analysis on Characterizing Full‐Color Electrophoretic Display
Author(s) -
Lu YenHsing,
Tien ChungHao
Publication year - 2012
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/j.2168-0159.2012.tb06054.x
Subject(s) - principal component analysis , rgb color model , computer science , chromatic scale , color space , artificial intelligence , color model , mixing (physics) , feature (linguistics) , primary color , electrophoresis , color difference , pattern recognition (psychology) , computer vision , biological system , mathematics , chemistry , chromatography , image (mathematics) , physics , linguistics , philosophy , combinatorics , quantum mechanics , biology , enhanced data rates for gsm evolution
A methodology is introduced to characterize colorimetric performance of full‐color electrophoretic display. The concept of principal component analysis benefited simplifying the complicated hybrid color‐mixing system by means of one eigenspectrum for each RGB channel. Proposed model was validated to predict the chromatic feature with high accuracy (ΔE AVE_CIEDE2000 <0.2). Due to its simplicity and invertibility, proposed technique will certainly has a promising impact on the color reproduction in emerging novel displays using hybrid color‐mixing system.