Lightweight Image Restoration Network for Strong Noise Removal in Nuclear Radiation Scenes

In order to remove the strong noise with complex shapes and high density in nuclear radiation scenes, a lightweight network composed of a Noise Learning Unit (NLU) and Texture Learning Unit (TLU) was designed. The NLU is bilinearly composed of a Multi-scale Kernel Module (MKM) and a Residual Module...

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Detalles Bibliográficos
Autores principales: Sun, Xin, Luo, Hongwei, Liu, Guihua, Chen, Chunmei, Xu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961967/
https://www.ncbi.nlm.nih.gov/pubmed/33807719
http://dx.doi.org/10.3390/s21051810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961967/
https://www.ncbi.nlm.nih.gov/pubmed/33807719
http://dx.doi.org/10.3390/s21051810

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