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ReBLS Denoiser: An Effective Denoiser based on the Residual Broad Learning System for CT Images
Author(s) -
Jin Huang,
Lei Wang,
Zhouqi Liu,
Yuwei Wang,
Xingli Guo,
Tianqi Cheng,
Cong Liu,
ChunXiang Liu
Publication year - 2023
Publication title -
the journal of imaging science and technology/the journal of imaging science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.157
H-Index - 42
eISSN - 1943-3522
pISSN - 1062-3701
DOI - 10.2352/j.imagingsci.technol.2023.67.3.030401
Subject(s) - residual , computer science , normalization (sociology) , artificial intelligence , noise reduction , feature (linguistics) , deep learning , pattern recognition (psychology) , filter (signal processing) , node (physics) , feature extraction , noise (video) , process (computing) , machine learning , algorithm , computer vision , image (mathematics) , engineering , linguistics , philosophy , structural engineering , sociology , anthropology , operating system

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