.png){kind=icon}
返回
Research on data-driven low-sampling-rate single-pixel imaging method
.png){kind=icon}
PRE
AI
DOI：10.1364/OL.507670.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Single-pixel imaging requires only a unit detector with no spatial resolution capability to acquire spatial information of the target and reconstruct the image. However, the quality of reconstructing images strongly depends on measurement matrices and their number of samples, making it challenging to achieve high-quality imaging with fewer samples. In this Letter, a dataset-driven low-sampling-rate single-pixel imaging method is proposed. It utilizes a network model driven by the image datasets to directly extract target feature information from a small number of samples and reconstruct the image. Experimental results demonstrate that, compared to traditional single-pixel imaging methods, this method no longer depends strongly on the relationship between the measurement matrices and the samples, and it can achieve an ideal imaging effect with a structural similarity of 90.20% at low sampling rates.(c) 2023 Optica Publishing Group
期刊
IF:
3.3
论文数:
4.0W
被引数:
7.6W
机构
引用论文
Image-free active autofocusing with dual modulation and its application to Fourier single-pixel imaging.png)
OPTICS LETTERS
OAAI
OPTICS LETTERSIF3.3
OAAI分享收藏
分享收藏Fast reconstructed and high-quality ghost imaging with fast Walsh-Hadamard transformPHOTONICS RESEARCH
PHOTONICS RESEARCHIF7.2
PREAI
分享收藏分享收藏分享收藏
查看更多内容