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• W2892785233 abstract "Multi-dimensional imaging is a powerful technique for many applications, such as biological analysis, remote sensing, and object recognition. Most existing multi-dimensional imaging systems rely on scanning or camera array, which make the system bulky and unstable. To some extent, these problems can be mitigated by employing compressed sensing algorithms. However, they are computationally expensive and highly rely on the ill-posed assumption that the information is sparse in a given domain. Here, we propose a snapshot spectral-volumetric imaging (SSVI) system by introducing the paradigm of light-field imaging into Fourier transform imaging spectroscopy. We demonstrate that SSVI can reconstruct a complete plenoptic function, P(x,y,z,θ,φ,λ,t), of the incoming light rays using a single detector. Compared with other multidimensional imagers, SSVI features prominent advantages in compactness, robustness, and low cost." @default.
• W2892785233 created "2018-10-05" @default.
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• W2892785233 date "2018-09-26" @default.
• W2892785233 modified "2023-10-16" @default.
• W2892785233 title "Complete plenoptic imaging using a single detector" @default.
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• W2892785233 doi "https://doi.org/10.1364/oe.26.026495" @default.
• W2892785233 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30469735" @default.
• W2892785233 hasPublicationYear "2018" @default.
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