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A high-quality spectral reconstruction method based on external and internal training

A spectral reconstruction, high-quality technology, applied in the field of computational photography, it can solve the problems of low quality of reconstructed images and no consideration of imaging models, so as to improve spatial resolution and spectral fidelity, and improve reconstruction quality and model. Generalizability, high reconstruction quality effects

Active Publication Date: 2021-04-27
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0006] Aiming at the problems existing in the existing algorithms such as not considering the imaging model and the low quality of the reconstructed image

Method used

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  • A high-quality spectral reconstruction method based on external and internal training
  • A high-quality spectral reconstruction method based on external and internal training
  • A high-quality spectral reconstruction method based on external and internal training

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Embodiment 1

[0073] A high-quality reconstruction method for a spectral imaging system based on a convolutional neural network disclosed in this embodiment is applied to a coded aperture snapshot spectral imaging system (Single disperser design for coded aperture snapshot spectral imaging, CASSI) (see Wagadarikar A, John R, Willett R, BradyD.Single disperser design for coded aperture snapshot spectral imaging[J].Applied optics.2008,47(10):B44-B51.) and dual-camera spectral imaging system based on panchromatic camera (Panchromatic camera based dual camera compressive hyperspectral imaging, DCCHI) (see Wang L, Xiong Z, Gao D, et al. Dual-camera design for coded aperture snapshot spectral imaging [J]. Applied Optics, 2015, 54(4): 848-58. ). The CASSI system modulates the 3D hyperspectral image by using a binarized coded aperture and a dispersive medium, and uses a detector to obtain a 2D compressed image of the 3D hyperspectral data. The DCCHI system adds a panchromatic branch on the basis o...

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Abstract

The invention discloses a high-quality spectral reconstruction method based on external and internal training, which belongs to the field of computational photography. The present invention is applied to a coded aperture snapshot spectral imaging system and a panchromatic camera-based dual-camera spectral imaging system, making full use of the information of the external hyperspectral database and the information of the internal input image and imaging model in the reconstruction process of the hyperspectral image; Use external training and internal training to update network parameters; and use GPU to complete the optimization solution of the entire network. The present invention can complete the hyperspectral image reconstruction of CASSI and DCCHI spectral imaging systems with high quality, while ensuring that the reconstruction results have high spatial resolution and hyperspectral fidelity, the efficiency of hyperspectral image reconstruction is greatly improved, and the hyperspectral image is expanded scope of application. The invention can be used in multiple fields such as geological exploration, agricultural production and biomedicine.

Description

technical field [0001] The patent of the present invention relates to a high-quality hyperspectral image reconstruction method for spectral imaging, in particular to a method capable of obtaining high-quality hyperspectral images, which belongs to the field of computational photography. Background technique [0002] Hyperspectral imaging technology is a combination of spatial imaging technology and spectral imaging technology, which can intensively collect the spectral signal of each point in the scene. The data cube collected by this technology is a hyperspectral image, which contains two-dimensional spatial information and one-dimensional spectral information of the target scene. The rich spectral details can reflect the lighting and material information of the scene. This technology has been applied in many fields such as geological exploration, agricultural production and biomedicine. Due to the limitations of existing two-dimensional imaging sensors, it is not possible...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T9/00G01J3/28
CPCG01J3/28G01J3/2823G01J2003/284G06T9/002
Inventor 王立志张涛付莹黄华
Owner BEIJING INSTITUTE OF TECHNOLOGYGY