A single-pixel multi-spectral imaging method and device based on macro-pixel segmentation

Abstract

The invention discloses a single-pixel multi-spectral imaging method and device based on macro-pixel division. The method performs macropixel segmentation and wavelength-position encoding on the spectral cube to be measured, so as to realize the sampling of the three-dimensional spectral cube in one two-dimensional sampling process. The present invention further designs a single-pixel multi-spectral imaging device, which loads the preset two-dimensional code onto the spatial light modulator for generating structured light illumination; uses a specific array filter to perform macro-pixel segmentation and Wavelength-position encoding; use a single-point detector to detect the light field intensity value after the scene under test; according to the one-dimensional intensity measurement value, use the reconstruction algorithm to reconstruct the two-dimensional spatial information and spectral information of the scene under test , so as to restore the multispectral imaging results. The method has a simple optical path and a fast sampling speed, and can select a suitable wave band and the number of wave bands through the design of the array filter, and can realize fast and effective single-pixel multi-spectral imaging.

Description

technical field [0001] The invention relates to the field of computational imaging, in particular to a single-pixel multi-spectral imaging method and device based on macro-pixel segmentation. Background technique [0002] Multispectral imaging technology can simultaneously obtain information of object space dimension and spectral dimension, which provides an effective means for material analysis and identification, so it has a wide range of applications in military, biological, medical, industrial detection and other fields. Traditional multispectral imaging techniques usually scan in time to obtain a three-dimensional spectral cube of the target object. This method can obtain the complete information of the spectral cube of the target object, but the scanning time is long and there is a large data redundancy. To acquire spectral cubes more efficiently, the researchers proposed a coded aperture spectral imaging technique (CASSI). This technology uses the theory of compress...

AI Technical Summary

Problems solved by technology

At present, the existing single-pixel multi-spectral imaging technology is mainly divided into the following categories: (1) directly using a spectrometer as a detector for detection can achieve imaging with high spectral resolution, but it also makes the entire system expensive and cumbersome; ( 2) Use mechanical structures such as a color wheel and a special coding wheel to encode the spectral dimension to restore the spectral cube of the target object from the one-dimensional intensity information. This type of system has the disadvantages of spectral encoding speed limited by the mechanical structure and poor stability. Disadvantages; (3) Based on Fourier single-pixel imaging technology, color-coded patterns are used to encode spatial and color information at the same time, but there are shortcomings such as limited imaging spectrum, slow projection of color-coded images, and low imaging efficiency

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