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43‐3: Pixel Structure Evaluation Regarding See‐through Image Quality for Transparent Displays: A Study Based on Diffraction Calculation and Full‐Reference Image Quality Assessment
Author(s) -
Qin Zong,
Huang Yi-Pai,
Shieh Han-Ping David
Publication year - 2017
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.11714
Subject(s) - image quality , quality (philosophy) , pixel , aperture (computer memory) , diffraction , image (mathematics) , computer science , similarity (geometry) , artificial intelligence , computer vision , optics , physics , acoustics , quantum mechanics
Through a series of diffracted see‐through images of transparent displays, “multiscale structural similarity” is demonstrated to be the most adapted for quality assessment among several mainstream algorithms. Then aperture ratios, resolutions, and pixel geometries are evaluated and revealed to affect see‐through image quality from the most significantly to the least.