Compressed spectral imaging system and imaging method based on RGB channel

Abstract

The invention discloses a compressed spectrum imaging system based on RGB channels, which mainly solves the problem of low reconstruction resolution of spectral images of conventional aliasing coding sampling. It includes a spectral image observation module (1) and an image reconstruction processing module (2). The spectral image observation module (1) includes: a beam splitter (11), which is used to split the incident beam of the spectral image into beams with the same information and different directions. The two-way beam of light; The compressed spectrum observation submodule (12), is used to obtain the observed image information after encoding; the RGB observation submodule (13), is used to obtain the RGB observation image of the spectral image; the image reconstruction processing module (2 ), the compressed coding observation and RGB observation results of the spectral image output by the spectral image observation module are simultaneously fused to complete the reconstruction of the spectral image and obtain the original spectral image. The invention has high reconstruction resolution and can be used for multispectral image acquisition in resource exploration, geological disaster detection and medical diagnosis.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a compressed spectral image reconstruction method, which can be used for multi-spectral image acquisition in resource exploration, geological disaster detection and medical diagnosis, and improves the spatial resolution of the image. Background technique [0002] Acquisition of traditional multispectral images is generally achieved by using several different optical filters or lighting and relying on multiple exposure techniques of the scene. This method requires long exposure time and is only suitable for static scenes, while the acquisition of dynamic scenes requires a shorter exposure time. [0003] In recent years, many spectral reconstruction theories have been proposed, and the spectral reconstruction technology based on compressed sensing CS provides a new method for spectral imaging modality. The theory states that the data should be properly compres...

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However, the panchromatic channel in this method uses a grayscale image, which does not make full use of th

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