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A Spectral Imaging System Based on Dispersion Fuzzy and Its Spectral Reconstruction Method

A technology for spectral reconstruction and blurring images, applied in the field of computational photography, can solve problems such as increasing complexity, and achieve the effects of reducing complexity, improving inherent shortcomings, and increasing light throughput

Active Publication Date: 2019-11-15
NANJING UNIV
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Problems solved by technology

In addition, due to the existence of the spatial modulation module, the complexity of the imaging spectrometer calibration is increased

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  • A Spectral Imaging System Based on Dispersion Fuzzy and Its Spectral Reconstruction Method
  • A Spectral Imaging System Based on Dispersion Fuzzy and Its Spectral Reconstruction Method
  • A Spectral Imaging System Based on Dispersion Fuzzy and Its Spectral Reconstruction Method

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Embodiment Construction

[0031] The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0032] Such as figure 1 As shown, the structure of the near-full-flux spectral imaging system based on dispersion ambiguity in the present invention mainly includes the following modules: imaging module, optical system correction module, spatial coupling module, spectral modulation module, and system spectroscopic module. The imaging module includes two sensors, which are respectively responsible for the collection of clear images and blurred images; the optical system correction module includes a converging lens, a collimator, etc. The point light source in the optical path of the system is corrected into a parallel beam for light wave transmission; the spatial coupling module uses an edge-blocking mask to perform simple modulation on the image, mainly to obtain the edge information ...

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Abstract

The invention discloses a spectral imaging system based on dispersion fuzziness, and a spectral reconstruction method of the spectral imaging system. The specific optical path of the spectral imagingsystem is that the light from a scene sequentially passes through a filter and an objective lens, and is divided into two ways: one way is directly collected by a first sensor, and a clear image is obtained; the other way sequentially passes through a focusing lens, a mask, a collimating mirror and a dispersing prism, and then is collected by a second sensor, and a fuzzy image is obtained. The mask is of an edge blocking type, and is used for carrying out the simple modulation of the fuzzy image, so as to obtain the edge information of the fuzzy image. The system can greatly reduce the calibration complexity, and improves the light transmission quantity, the signal-to-noise ratio and the spatial resolution of the system. The method for spectrum reconstruction through the imaging system canachieve the solving of the full-spatial-resolution spectrum information according to a series of constrain conditions, can achieve the real-time obtaining of the spectrum information of a dynamic scene in principle, and does not need to sacrifice the time and spatial resolution.

Description

technical field [0001] The invention relates to the field of computational photography, in particular to a near-full-light spectral imaging system based on dispersion blur and a spectral reconstruction method thereof. Background technique [0002] In recent years, the spectral data of the scene has had a significant impact on many fields, such as medical diagnosis, target detection, face recognition, etc., because it contains rich detailed information. The acquisition and analysis of multispectral imaging is currently a hot research field. . [0003] The existing multi-spectral acquisition methods are mainly divided into two categories in principle: one is the direct measurement method. The traditional spectrometer obtains the spectral information in the entire scene by scanning the spatial dimension or the spectral dimension. This method sacrifices time method is not suitable for dynamic scenes. The other is the down-sampling method. This method first modulates and down-s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01J3/28G01J3/02
CPCG01J3/0208G01J3/0229G01J3/2823G01J2003/284
Inventor 岳涛赵远远陈林森曹汛索津莉
Owner NANJING UNIV
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