Hyperspectral image denoising method and device

Abstract

The invention provides a hyperspectral image denoising method and device. The method comprises the steps of S1, obtaining at least one effective wave band which is similar to structural information ofa hyperspectral image noise wave band and is better in image quality than the noise wave band; and S2, building an objective function according to the at least one effective wave band, and obtainingdenoised clear wave bands according to the objective function. By utilizing the correlation between the bands, the denoising problem of the noise wave bands is converted into the fusion of the wave bands; the final denoised clear wave bands are obtained; the situation of ignoring that noises possibly only exist in a few wave bands or a wave band in a conventional method is considered and overcome;and a relatively good denoising result is obtained.

Description

technical field [0001] The present invention relates to the field of hyperspectral image denoising, and more specifically, to a hyperspectral image denoising method and device. Background technique [0002] Compared with RGB color or grayscale images, hyperspectral images have richer band information, which can improve the efficiency of many computer vision applications, such as face recognition, remote sensing, and motion segmentation. However, in practice, hyperspectral images will inevitably be affected by noise, such as sensor defects or the environment, so hyperspectral denoising is very meaningful research. The formation process of the noise image can be simply expressed as y=x+n, where n is the noise, x is the clear original image, and y is the noise image. However, the existing hyperspectral image denoising methods seldom consider a practical problem: the noise in the hyperspectral image does not necessarily exist in all bands, but may only exist in certain or speci...

AI Technical Summary

Problems solved by technology

However, the existing hyperspectral image denoising methods seldom consider a practical problem: the noise in the hyperspectral image does not necessarily exist in all bands, but may only exist in certain or specific bands. These hyperspectral image denoising methods usually assume that the noise exists in all bands, so they cannot effectively deal with this situation

[0005] However, the hyperspectral image denoising method based on the 2D image denoising method is extended to process each band completely independently, without considering the correlation between the bands, so the denoising effect is not ideal

The band-dependent hyperspectral image denoising method considers that the noise level of each band is equivalent, and does not consider the difference in the noise level of different bands, so it cannot achieve good results for the situation where the noise only appears in certain or specific bands

Images