| Autor: |
Zheng Z, Liu B, Song J, Ding L, Zhong X, Chang L, Wu X, McGloin D, Wang F |
| Jazyk: |
angličtina |
| Zdroj: |
Optics letters [Opt Lett] 2024 Jun 01; Vol. 49 (11), pp. 3058-3061. |
| DOI: |
10.1364/OL.515429 |
| Abstrakt: |
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-processing operations or versatile computer vision assignments toward task-oriented intelligent lensless imaging systems. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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