Temporal compressive edge imaging enabled by a lensless diffuser camera
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866909218809839616 |
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| author | Zheng, Ze Liu, Baolei Song, Jiaqi Ding, Lei Zhong, Xiaolan Mcgloin, David Wang, Fan |
| author_facet | Zheng, Ze Liu, Baolei Song, Jiaqi Ding, Lei Zhong, Xiaolan Mcgloin, David Wang, Fan |
| contents | Lensless imagers based on diffusers or encoding masks enable high-dimensional imaging from a single shot measurement and have been applied in various applications. However, to further extract image information such as edge detection, conventional post-processing filtering operations are needed after the reconstruction of the original object images in the diffuser imaging systems. Here, we present the concept of a temporal compressive edge detection method based on a lensless diffuser camera, which can directly recover a time sequence of edge images of a moving object from a single-shot measurement, without further post-processing steps. Our approach provides higher image quality during edge detection, compared with the conventional post-processing method. We demonstrate the effectiveness of this approach by both numerical simulation and experiments. The proof-of-concept approach can be further developed with other image post-process operations or versatile computer vision assignments toward task-oriented intelligent lensless imaging systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_07198 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Temporal compressive edge imaging enabled by a lensless diffuser camera Zheng, Ze Liu, Baolei Song, Jiaqi Ding, Lei Zhong, Xiaolan Mcgloin, David Wang, Fan Image and Video Processing Applied Physics Optics Lensless imagers based on diffusers or encoding masks enable high-dimensional imaging from a single shot measurement and have been applied in various applications. However, to further extract image information such as edge detection, conventional post-processing filtering operations are needed after the reconstruction of the original object images in the diffuser imaging systems. Here, we present the concept of a temporal compressive edge detection method based on a lensless diffuser camera, which can directly recover a time sequence of edge images of a moving object from a single-shot measurement, without further post-processing steps. Our approach provides higher image quality during edge detection, compared with the conventional post-processing method. We demonstrate the effectiveness of this approach by both numerical simulation and experiments. The proof-of-concept approach can be further developed with other image post-process operations or versatile computer vision assignments toward task-oriented intelligent lensless imaging systems. |
| title | Temporal compressive edge imaging enabled by a lensless diffuser camera |
| topic | Image and Video Processing Applied Physics Optics |
| url | https://arxiv.org/abs/2309.07198 |