Compressed sensing-based image reconstruction for discrete tomography with sparse view and limited angle geometries.
This paper addresses the image reconstruction problem in discrete tomography, particularly under challenging imaging conditions such as sparse-view and limited-angle geometries commonly encountered in computed tomography (CT). These conditions often result in low-quality reconstructions due to insuf...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science (PLoS)
2025-01-01
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| シリーズ: | PLoS ONE |
| オンライン･アクセス: | https://doi.org/10.1371/journal.pone.0327666 |
| タグ: |
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