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P‐12: Display Image Quality Evaluation with Multi‐Scale Human Visual Model
Author(s) -
Yu JenHung,
Lin YenChung,
Shieh HanPing D.,
Liaw MingJiun
Publication year - 2001
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 - 10.1889/1.1831929
Subject(s) - crts , luminance , image quality , human visual system model , computer vision , computer science , artificial intelligence , contrast (vision) , quality (philosophy) , perception , image (mathematics) , scale (ratio) , display device , stereo display , visual perception , computer graphics (images) , psychology , philosophy , physics , epistemology , quantum mechanics , neuroscience , operating system
A multi‐scale human visual model is utilized to evaluate image quality and to reproduce image on display devices close to original scene. The major advantage of this evaluative method is that the results are well correlated with subjective human perception. Human perceived image quality does not improve with much higher luminance and contrast ratio for both CRTs and LCDs. The requirements to achieve high human perceived image quality are discussed. Moreover, the evaluative results can also be used to define the characteristics of display devices.