Combined optimization ghost imaging based on random speckle field
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866910354952421376 |
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| author | Yang, Zhiqing Zhou, Cheng Wang, Gangcheng Song, Lijun |
| author_facet | Yang, Zhiqing Zhou, Cheng Wang, Gangcheng Song, Lijun |
| contents | Ghost imaging is a non local imaging technology, which can obtain target information by measuring the second-order intensity correlation between the reference light field and the target detection light field. However, the current imaging environment requires a large number of measurement data, and the imaging results also have the problems of low image resolution and long reconstruction time. Therefore, using orthogonal methods such as QR decomposition, a variety of optimization methods for speckle patterns are designed combined with Kronecker product,which can help to shorten the imaging time, improve the imaging quality and image noise resistance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_03426 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Combined optimization ghost imaging based on random speckle field Yang, Zhiqing Zhou, Cheng Wang, Gangcheng Song, Lijun Optics Image and Video Processing Ghost imaging is a non local imaging technology, which can obtain target information by measuring the second-order intensity correlation between the reference light field and the target detection light field. However, the current imaging environment requires a large number of measurement data, and the imaging results also have the problems of low image resolution and long reconstruction time. Therefore, using orthogonal methods such as QR decomposition, a variety of optimization methods for speckle patterns are designed combined with Kronecker product,which can help to shorten the imaging time, improve the imaging quality and image noise resistance. |
| title | Combined optimization ghost imaging based on random speckle field |
| topic | Optics Image and Video Processing |
| url | https://arxiv.org/abs/2403.03426 |