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A physics-based noise formation model for optical coherence tomography system denoising
Jingsi Chen, Zhengyu Qiao,
Yong Huang
*
,
Qun Hao
*
此作品的通讯作者
光电学院
Beijing Institute of Technology
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分类
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Engineering
Deep Learning
100%
Demonstrates
50%
Filtration
50%
Conventional Method
50%
Signal-to-Noise Ratio
50%
Filtering Algorithm
50%
Image Synthesis
50%
Detail Image
50%
Image Processing Algorithm
50%
Optical Domain
50%
Local Mean
50%
Physics
Coherence
100%
Physics
100%
Tomography
100%
Noise Reduction
50%
Deep Learning
33%
Image Processing
16%
Signal-to-Noise Ratio
16%
Random Noise
16%
Imaging Technique
16%
Image Synthesis
16%
Computer Science
de-noising
100%
Image Quality
66%
Deep Learning
33%
Conventional Method
33%
Noise-to-Signal Ratio
33%
block matching
33%
Image Synthesis
33%
Network Architecture
33%
Deep Learning
33%
Image Processing Algorithm
33%
Optical Domain
33%
Material Science
Optical Coherence Tomography
100%
Signal-to-Noise Ratio
16%