.png){kind=icon}
返回
Compressed computational imaging based on optical differentiation
.png){kind=icon}
PRE
AI
DOI：10.1364/OL.535063.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In computational imaging, getting better imaging quality with shorter time usage is always a challenging problem. The powerful compressed sensing functions as a backend algorithm, which leaves room for us to develop a methodology of compression in imaging systems. Optical differentiation was widely utilized in direct imaging to highlight the features of an image. We apply optical differentiation to compress information in the correlated imaging system. The experimental results indicate a significant improvement in the signal-to-noise ratio and imaging speed. In addition, this scheme enables phase imaging from the second-order correlation. Our work can spark potential applications in biological microscopic and scattering media imaging. (c) 2024 Optica Publishing Group. All rights, including for text and data nologies, are reserved.
Keyword:
SPECKLE CORRELATION
QUANTUM
RECONSTRUCTION
OBJECTS
期刊
IF:
3.3
论文数:
4.0W
被引数:
7.6W
机构
引用论文
Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning.png)
NATURE COMMUNICATIONS
OAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Single-pixel imaging by means of Fourier spectrum acquisition傅里叶光谱采集的单像素成像NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏分享收藏分享收藏Inverse design enables large-scale high-performance meta-optics reshaping virtual reality逆向设计实现大规模高性能元光学重塑虚拟现实NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏分享收藏Deep speckle correlation: a deep learning approach toward scalable imaging through scattering mediaOPTICAOAAI
OPTICAIF8.5
OAAI分享收藏
查看更多内容