4 citations · 6 across the 5 of their papers we have counts for
5 papers
Imaging through multimode fibres with physical prior
Chuncheng Zhang, Yingjie Shi, Zheyi Yao +2
Imaging through perturbed multimode fibres based on deep learning has been widely researched. However, existing methods mainly use target-speckle pairs in different configurations.…
Super-resolution imaging through a multimode fiber: the physical upsampling of speckle-driven
Chuncheng Zhang, Tingting Liu, Zhihua Xie +4
Following recent advancements in multimode fiber (MMF), miniaturization of imaging endoscopes has proven crucial for minimally invasive surgery in vivo. Recent progress enabled by…
Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution
Tingting Liu, Yuan Liu, Chuncheng Zhang +3
Since the number of incident energies is limited, it is difficult to directly acquire hyperspectral images (HSI) with high spatial resolution. Considering the high dimensionality a…
Dynamic mutation enhanced greedy strategy for wavefront shaping
Chuncheng Zhang, Xiubao Sui, Zheyi Yao +5
Optical focusing through scattering media has important implications for optical applications in medicine, communications, and detection. In recent years, many wavefront shaping me…
Fast optical refocusing through multimode fiber bend using Cake-Cutting Hadamard encoding algorithm to improve robustness
Chuncheng Zhang, Zheyi Yao, Zhengyue Qin +5
Multimode fibres offer the advantages of high resolution and miniaturization over single mode fibers in the field of optical imaging. However, multimode fibre's imaging is suscepti…