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Code aperture spectral imaging system reconstruction method

A spectral imaging and coded aperture technology, applied in the field of computational photography, can solve the problems of long reconstruction time and low image quality, and achieve the effects of fast reconstruction speed, improved convergence speed, and improved reconstruction efficiency

Active Publication Date: 2017-12-08
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0005] For the problems of long reconstruction time and low image quality in the two-step iterative shrinkage / threshold imaging algorithm

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  • Code aperture spectral imaging system reconstruction method
  • Code aperture spectral imaging system reconstruction method
  • Code aperture spectral imaging system reconstruction method

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Embodiment 1

[0067] A reconstruction method for a coded aperture spectral imaging system disclosed in this embodiment is applied to a coded aperture snapshot spectral imaging system. The coded aperture snapshot spectral imaging system, namely the CASSI system, was first proposed by Ashwin Wagadarikar et al. (see Wagadarikar A, John R, Willett R, Brady D.Single disperser design forcoded aperture snapshot spectral imaging[J]. 47(10):B44-B51.). The CASSI system uses the coding template to randomly modulate the spectral information in the spatial dimension, and uses the dispersion prism to compress the spectral dimension, thus realizing the compression from the three-dimensional data cube to the two-dimensional data. The system structure is as follows: figure 1 shown.

[0068] How to reconstruct the original 3D hyperspectral image from the 2D compressed image obtained by the CASSI system is a very important research content in this field. At present, the most commonly used reconstruction alg...

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Abstract

The invention provides a code aperture spectral imaging system reconstruction method, relates to a method capable of rapidly acquiring a high-resolution hyperspectral image, and belongs to the field of computational imaging. The method provided by the invention is applied to a code aperture snapshot spectral imaging system. Hyperspectral image reconstruction is converted into the optimization of total variation constraints. An alternating direction multiplier method (ADMM algorithm) is used for solving. A conjugate gradient descent method is used to update the hyperspectral image. A soft threshold function is used to update the auxiliary variables of the ADMM algorithm. Iteration is carried out according to the alternating updating policy of the ADMM algorithm to reconstruct the hyperspectral image. According to the invention, the high-resolution hyperspectral image used for code aperture spectral imaging is rapidly reconstructed; the method has the advantages of fast convergence, high reconstruction efficiency and easy parallel processing; and the method is suitable for a code aperture snapshot spectrometer, and can be expanded to be suitable for a spectrometer device based on multichannel sampling.

Description

technical field [0001] The invention relates to a hyperspectral image reconstruction method for coding aperture spectral imaging, in particular to a method capable of rapidly acquiring high-resolution hyperspectral images, and belongs to the field of computational photography. Background technique [0002] Hyperspectral imaging technology combines spatial imaging technology and spectral imaging technology to continuously measure dozens or even hundreds of bands on the spectrum of the target scene. The image obtained by this technology contains two-dimensional spatial information and one-dimensional spectral information of the target scene, which is called a data cube. Compared with traditional color imaging, hyperspectral imaging technology can obtain useful information with richer content and more prominent details. This technology has been used in vegetation research, atmospheric detection, manned spaceflight, medical diagnosis and other fields. [0003] In recent years,...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/50
Inventor 黄华张仕鹏王立志付莹
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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