Complex artefact suppression for sparse reconstruction based on compensation approach in X‐ray computed tomography-Reference-Cited by-同舟云学术

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Complex artefact suppression for sparse reconstruction based on compensation approach in X‐ray computed tomography

Published:2022-12-18 Issue:4 Volume:17 Page:1291-1306
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Yang Fuqiang¹²,Zhang Dinghua¹²,Huang Kuidong¹²,Yang Yao¹²,Li Zhixiang¹²

Affiliation:

1. The Key Laboratory of High Performance Manufacturing for Aero Engine (Northwestern Polytechnical University), Ministry of Industry and Information Technology Xi'an China

2. Engineering Research Center of Advanced Manufacturing Technology for Aero Engine, Ministry of Education Xi'an China

Funder

National Natural Science Foundation of China

National Science and Technology Major Project

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12713

Reference45 articles.

1. Probabilistic approach to limited-data computed tomography reconstruction

2. Mapping the spatial performance variability of an X-ray computed tomography inspection

3. Low-dose spectral CT reconstruction using image gradient ℓ0–norm and tensor dictionary

4. Erratum: Total variation superiorized conjugate gradient method for image reconstruction (2018 Inverse Problems 34 034001)

5. Limited view X-ray tomography for dimensional measurements

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