Research on noise suppression and detail enhancement in computational holographic image reconstruction based on deep learning
Abstract Computational holographic imaging enables three-dimensional reconstruction by recording the amplitude as well as frequency phases of light waves. However, reconstructed images often suffer from coherent noise, speckle artifacts, and loss of fine structural details, limiting their practical...
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| 第一著者: | |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SpringerOpen
2026-03-01
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| シリーズ: | Journal of Engineering and Applied Science |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s44147-026-00934-7 |
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