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Complete plenoptic imaging using a single detector
DOI:10.1364/OE.26.026495.png)
Abstract
En 中文
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 algoritluns. 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 transfonn imaging spectroscopy. We demonstrate that SSVI can reconstruct a complete plenoptic function, P(x, y, z, theta, phi, lambda, 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. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Keywords:
LIGHT
CAMERA
QUALITY
DESIGN
Journal
IF:
3.3
Papers:
6.1W
Citations:
14.3W

