Publications by authors named "Daoyu Li"

Data proliferation in the digital age necessitates robust encryption techniques to protect information privacy. Optical encryption leverages the multiple degrees of freedom inherent in light waves to encode information with parallel processing and enhanced security features. However, implementations of large-scale, high-security optical encryption have largely remained theoretical or limited to digital simulations due to hardware constraints, signal-to-noise ratio challenges, and precision fabrication of encoding elements.

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Hyperspectral imaging (HSI) finds broad applications in various fields due to its substantial optical signatures for the intrinsic identification of physical and chemical characteristics. However, it faces the inherent challenge of balancing spatial, temporal, and spectral resolution due to limited bandwidth. Here we present SpectraTrack, a computational HSI scheme that simultaneously achieves high spatial, temporal, and spectral resolution in the visible-to-near-infrared (VIS-NIR) spectral range.

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Article Synopsis
  • Millimeter-Wave (MMW) imaging offers a contactless security inspection method, but high costs of large antenna arrays limit its use in busy settings.
  • The researchers created a framework for large-scale, low-cost MMW imaging by selecting optimal antenna elements to significantly cut costs while maintaining image quality.
  • They also developed a neural network for detecting concealed objects using only 10% of the usual array, demonstrating high accuracy and making this technique more feasible for widespread security applications.
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Reducing the imaging time while maintaining reconstruction accuracy remains challenging for single-pixel imaging. One cost-effective approach is nonuniform sparse sampling. The existing methods lack intuitive and intrinsic analysis in sparsity.

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Article Synopsis
  • Pixel super-resolution (PSR) is a technique used in phase imaging that helps overcome limitations in image sampling, but it can struggle with noise, which affects image quality.
  • The authors introduce a method called nonlocal low-rank (NLR) regularization within a plug-and-play framework to enhance PSR's accuracy and robustness, achieving top-performing results.
  • They also developed a new network, the complex-domain nonlocal low-rank network (CNLNet), which improves image reconstruction by focusing on deep feature analysis, achieving an average improvement of 1.4 dB PSNR compared to conventional methods.
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Deep-learning-augmented single-pixel imaging (SPI) provides an efficient solution for target compressive sensing. However, the conventional supervised strategy suffers from laborious training and poor generalization. In this Letter, we report a self-supervised learning method for SPI reconstruction.

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The speed of single-pixel imaging (SPI) is tied to its resolution, which is positively related to the number of modulation times. Therefore, efficient large-scale SPI is a serious challenge that impedes its wide applications. In this work, we report a novel, to the best of our knowledge, sparse SPI scheme and corresponding reconstruction algorithm to image target scenes at above 1 K resolution with reduced measurements.

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Complex lighting conditions and the limited dynamic range of imaging devices result in captured images with ill exposure and information loss. Existing image enhancement methods based on histogram equalization, Retinex-inspired decomposition model, and deep learning suffer from manual tuning or poor generalization. In this work, we report an image enhancement method against ill exposure with self-supervised learning, enabling tuning-free correction.

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Phase unwrapping is an indispensable step in recovering the true phase from a modulo-2π phase. Conventional phase unwrapping methods suffer from error propagation under severe noise. In this Letter, we propose an iterative framework for robust phase unwrapping with high fidelity.

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Grafting organic molecules onto an insoluble matrix is an effective way to improve the electronic conductivity and insolubility in electrolyte of organic electrode materials. The active group of CN in DAP@C composites synthesized by chemical grafting of 2,3-diaminophenazine (DAP) with carbon felt through amide bonds (-CO-NH-) displays excellent electrochemical behavior.

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The phase transition of LiV3O8 from an α phase to a β phase during the discharge/charge process leads to drastic structural change and rapid capacity decay, and the consequent sluggish Li+ solid-state diffusion results in a serious concentration polarization. Herein, Ca-doped LiV3O8 was rationally designed and synthesized to address these issues. The electrochemical behaviors of Ca-doped and undoped LiV3O8, together with their structural evolution and changes in the ion solid diffusion paths, are studied in detail.

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We clarify the transient process and its mechanism of scanning electron microscope (SEM) images of a trench microstructure buried in insulators. First, interface charges of primary electrons trapped on the trench are derived from the charging model of a capacitor considering the electron beam induced current, and the surface potential is therefore assumed. The SEM signal current is then determined from its simplified relation with the surface potential.

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