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Enhancing E-Paper Color Fidelity: A Deep Learning Approach to Color Correction
Pei Hsuan Tung
, Cheng Kai Lu
, Yi Hsing Chien
,
Wei Yen Wang
電機工程學系
研究成果
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引文 斯高帕斯（Scopus）
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Engineering
Color Correction
100%
Color Filter
100%
Learning Approach
100%
Deep Learning Method
100%
Color Fidelity
100%
Color Reproduction
50%
Fast Response
50%
Liquid Crystal Display
50%
Experimental Result
25%
Low Power Consumption
25%
Signal-to-Noise Ratio
25%
Color Gamut
25%
Peak Signal
25%
Error Diffusion
25%
Structural Similarity
25%
Response Time
25%
Convolutional Neural Network
25%
Computational Cost
25%
Grayscale Level
25%
Response Characteristic
25%
Similarity Index
25%
Computer Science
color filter array
100%
Learning Approach
100%
Deep Learning Method
100%
Color Correction
100%
Liquid Crystal Display
50%
Color Reproduction
50%
Convolutional Neural Network
25%
Visual Quality
25%
Image Quality
25%
Response Time
25%
peak signal to noise ratio
25%
low-power consumption
25%
Computer Hardware
25%
Experimental Result
25%
Generalizability
25%
Structural Similarity
25%
Computational Cost
25%
Error Diffusion
25%
Display Technology
25%
INIS
learning
100%
corrections
100%
color
100%
filters
30%
images
23%
levels
15%
reproduction
15%
liquid crystals
15%
comparative evaluations
7%
adjustments
7%
errors
7%
power
7%
cost
7%
solutions
7%
neural networks
7%
positioning
7%
diffusion
7%
signal-to-noise ratio
7%
peaks
7%
Material Science
Liquid Crystal Display
100%
Signal-to-Noise Ratio
50%