A deep neural networks-based image reconstruction algorithm for a reduced sensor model in large-scale tomography system
Image reconstruction for soft-field tomography is a highly nonlinear and ill-posed inverse problem. Owing to the highly complicated nature of soft-field, the reconstructed images are always poor in quality. One of the factors that affect image quality is the number of sensors in a tomography system....
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier Ltd
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/99457/ http://dx.doi.org/10.1016/j.flowmeasinst.2022.102234 |
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