White spots noise removal of neutron images using improved robust principal component analysis

Author:

Zhao ChenyiORCID,Yan Yue,Wang Yanmei,Qiao Shuang

Funder

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

National Key Scientific Instrument and Equipment Development Project of China

Opening Project of Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory

Foundation for Excellent Young Talents of Jilin Province

Publisher

Elsevier BV

Subject

Mechanical Engineering,General Materials Science,Nuclear Energy and Engineering,Civil and Structural Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neutron radiographic images denoising method based on multi-branch network;Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms;2024-08

2. A Novel Method for Enhancing the Image Quality of Neutron Projection Image;Journal of Nondestructive Evaluation;2024-04-26

3. Multi-distortion suppression for neutron radiographic images based on generative adversarial network;Nuclear Science and Techniques;2024-04

4. Pulsed radiation image restoration based on unsupervised deep learning;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2024-04

5. A high-density gamma white spots-Gaussian mixture noise removal method for neutron images denoising based on Swin Transformer UNet and Monte Carlo calculation;Nuclear Engineering and Technology;2024-02

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