Multispectral image super-resolution reconstruction method based on color image fusion

Abstract

The invention discloses a multi-spectral image super-resolution reconstruction method based on color image fusion. Firstly, the high-resolution color image and low-resolution multi-spectral image areacquired and registered, then the inverse camera response function and spectral sensitivity function coupled in the color image are acquired, and the observation model based on the content of the acquired image is constructed. High-resolution multispectral images are solved by this model, Firstly, the boundary structure information is extracted from the captured RGB image, In order to guide the reconstruction of high-resolution multispectral images, the basis of the solution space is trained from the acquired multispectral images, and an iterative algorithm framework based on image fusion is constructed to solve the coefficients of the multispectral images on the spatial basis. Finally, the coefficients are combined with the spatial basis to obtain the high-resolution multispectral images.The invention reduces the error of the traditional multi-spectral image super-resolution method due to the information loss and improves the reconstruction precision of the multi-spectral image by utilizing the boundary guidance and the content fusion of the RGB image.

Description

technical field [0001] The invention relates to improving the spatial resolution of multi-spectral images, in particular to a method for super-resolution reconstruction of multi-spectral images by using boundary guidance and content fusion of color images. Background technique [0002] Multispectral imaging can record rich spectral information of a scene, so it has attracted extensive attention in various fields, such as biology, remote sensing, color reproduction, etc. A multispectral imaging system usually consists of a tunable filter bank and a monochromatic camera, which can acquire a series of continuous narrow-band channel images in the visible spectral band. Multispectral imaging systems can achieve very high spectral domain resolution, but due to system hardware and other factors, it has serious limitations in spatial domain resolution. [0003] In order to improve the spatial resolution of multispectral images, a widely used method in the field of remote sensing is...

AI Technical Summary

Problems solved by technology

[0007] The present invention aims at problems such as insufficient fusion information and inappropriate fusion methods leading to low reconstruction accuracy in existing multispectral super-resolution imaging methods, and proposes a multispectral image super-resolution reconstruction method using RGB image boundary guidance and content fusion method

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