Abstract: Highlights•A novel blind super-resolution algorithm for the single hyperspectral image is proposed for the first time, effectively addressing the issue of unknown degradation in hyperspectral images.•We propose a blur kernel estimation module and a deblurring module to obtain the clean hyperspectral image without blur.•We design the branch and fusion module to exploit the spatial-spectral information from both the local and global perspectives to further remove degradation.•Experimental results validate that the proposed method has superior performance and better generalization capability.
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