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Three-dimensional adaptive compression reconstruction method based on liquid crystal hyperspectral calculation imaging system

A computational imaging, compression and reconstruction technology, applied in the field of hyperspectral imaging, can solve problems such as the inability to fully utilize the structural characteristics of the target scene, and achieve the effect of improving three-dimensional super-resolution, reducing difficulty and cost, and saving time.

Active Publication Date: 2021-06-22
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, random coded aperture is not the optimal choice, it cannot make full use of the structural features of the target scene, so there is still room for improvement in the spatial dimension imaging effect of the data cube

Method used

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  • Three-dimensional adaptive compression reconstruction method based on liquid crystal hyperspectral calculation imaging system
  • Three-dimensional adaptive compression reconstruction method based on liquid crystal hyperspectral calculation imaging system
  • Three-dimensional adaptive compression reconstruction method based on liquid crystal hyperspectral calculation imaging system

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Embodiment 1

[0055] like figure 1 As shown, this embodiment discloses a three-dimensional adaptive compression reconstruction method based on a liquid crystal hyperspectral computing imaging system. The liquid crystal hyperspectral computing imaging system includes LCTF with a resolution of N x ×N y coded aperture with a resolution of M x × M y LCTF performs optical filtering on the target scene, and the filtering process is regarded as a compressed sampling process. The matrix after discretization of the LCTF transmittance function is the observation matrix of the spectral dimension. The filtered image contains multiple spectral information, which is spatially modulated through the coded aperture, and finally imaged on the low-resolution detector through the optical lens, and the low-resolution detector collects the compressed observation results after aliasing. The compressed reconstruction method includes the following steps:

[0056] A. Tuning the LCTF so that the coding units of t...

Embodiment 2

[0070] like figure 1 As shown, this embodiment discloses a three-dimensional adaptive compression reconstruction method based on a liquid crystal hyperspectral computing imaging system. The liquid crystal hyperspectral computing imaging system includes LCTF with a resolution of N x ×N y coded aperture with a resolution of M x × M y For the detector and optical lens, see Embodiment 1 for the work of each part. The compressed reconstruction method includes the following steps:

[0071] A. Obtain a low-resolution data cube.

[0072] LCTF can filter the target scene and select the spectral band of a specific central wavelength to pass. In traditional application fields, LCTF is usually considered as an ideal filter with an infinitely small bandwidth, and its output spectral image is a quasi-monochromatic image at the specific central wavelength. In fact, even though the bandwidth of LCTF is very narrow, the image filtered by LCTF is the result of multiplexing of multiple spe...

Embodiment 3

[0101] like figure 2 As shown, this embodiment discloses the simulation results of the above embodiments to demonstrate the superiority of the reconstructed image quality of the present invention.

[0102] In this embodiment, the programming platform used in the simulation experiment is MATLAB R2015b. The original hyperspectral data used in the simulation experiment comes from the hyperspectral database of the Interdisciplinary Computational Vision Laboratory of Ben-Gurion University in Israel. A total of 170 spectral bands from 500nm to 710nm are intercepted, and the spatial dimension of each band is 400×400 pixels. . In the compressed sampling process, LCTF filters the target scene into 22 spectral channels, and the central wavelength of the spectral channels ranges from 500nm to 710nm with an interval of 10nm. The coding aperture compresses and aliases every 8×8 pixels into 1 pixel, that is, the size of the analog detector is 50×50 pixels. In addition, in order to obtai...

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Abstract

The invention discloses a three-dimensional adaptive compression reconstruction method based on a liquid crystal hyperspectral calculation imaging system. The liquid crystal hyperspectral calculation imaging system comprises an LCTF, a coding aperture, a detector and an optical lens. The method comprises the following steps: acquiring low-resolution images of the LCTF under each spectrum channel to obtain a low-resolution data cube; performing interpolation operation to quickly obtain a high-resolution hyperspectral data cube; generating an adaptive coding aperture required by each filtering wave band based on the hyperspectral data cube by using an adaptive coding rule; respectively acquiring a compression measurement value under each spectrum channel through the self-adaptive coding aperture; based on a compressed sensing theory, reconstructing a high-resolution target spectral data cube according to an observation matrix, a sparse base and a compressed measurement value of a system. According to the method, the adaptive coding aperture and the space-spectrum joint dictionary are designed by using prior information, so that the method has high adaptability to a target scene, and the imaging quality can be improved.

Description

technical field [0001] The invention relates to the technical field of hyperspectral imaging, in particular to a three-dimensional adaptive compression reconstruction method based on a liquid crystal hyperspectral computing imaging system. Background technique [0002] At present, spectral technology has been widely used in the fields of geology and mineral resources, biomedicine, and environmental protection. The hyperspectral imaging technology combines spectral technology with traditional imaging technology to obtain the three-dimensional data cube of the target, including two-dimensional spatial information and one-dimensional high-resolution spectral information, its importance is self-evident. [0003] Liquid Crystal Tunable Filter (LCTF) is a spectral filter device that can tune the center wavelength by changing the applied voltage. Because LCTF has the advantages of fast tunability, flexible selection of filtering range, small size and low cost, LCTF-based hyperspec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J3/28G01J3/02
CPCG01J3/2823G01J3/0229G01J2003/283
Inventor 许廷发徐畅王茜张宇寒樊阿馨
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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