.png){kind=icon}
返回
Temporal compressive edge imaging enabled by a lensless diffuser camera
.png){kind=icon}
OA
AI
DOI：10.1364/OL.515429.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
期刊
IF:
3.3
论文数:
4.0W
被引数:
7.6W
机构
引用论文
.png){kind=icon}
分享收藏
A new TwIST: Two-step iterative shrinkage/thresholding algorithms for image restoration一种新的扭曲: 用于图像恢复的两步迭代收缩/阈值算法
PREAI
分享收藏
查看更多内容