Multispectral imaging method and device based on demosaicing algorithm and principal component analysis

Abstract

The invention discloses a multispectral imaging method and device based on a demosaicing algorithm and principal component analysis. The method comprises: integrating a preset number of channels of wide-spectrum multi-spectral filter arrays in front of a detector, and obtaining collected data, wherein the collected data are mosaic images corresponding to the wide-spectrum multi-spectral filter arrays MSFA; processing the acquired data by using a demosaicing algorithm, and performing reconstructing to obtain a complete airspace full-resolution image corresponding to a preset number of channels;and performing parallel reconstruction decoupling on the spectrum of each spatial point through a principal component analysis theory by using the spectrum modulation characteristics of the MSFA andthe spectrum modulation data of each spatial point to obtain a multispectral image. According to the method, multispectral imaging can be realized by utilizing a good reconstruction result of a demosaicing algorithm when the number of channels is small and a principal component analysis dimension reduction effect.

Description

technical field [0001] The invention relates to the technical field of computational photography, in particular to a multispectral imaging method and device based on a demosaic algorithm and principal component analysis. Background technique [0002] Multispectral imaging technology emerged in the 1980s. It combines spectral technology and imaging technology to obtain information of multiple bands for each pixel of the image. Compared with ordinary color cameras, such as the three spectral channels of RGB cameras, multispectral imaging systems generally contain dozens or even hundreds of spectral channels. The scene is observed to obtain images. Each spectral band can be regarded as a static grayscale image, which represents the intensity information of different bands. The images on different spectral bands contain more spatial information and spectral information of the observed object. Compared with traditional imaging technology, multispectral imaging technology has gre...

AI Technical Summary

Problems solved by technology

Since MSFA is equivalent to sampling each channel, when the number of channels is small, a multispectral image with better effect can be obtained. Once the number of channels increases, the reconstruction effect will drop significantly.

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