A guidable nonlocal low-rank approximation model for hyperspectral image denoising

Yong Chen, Juan Zhang, Jinshan Zeng, Wenzhen Lai, Xinfeng Gui, Tai-Xiang Jiang

Abstract: Highlights•A novel insight is proposed for HSI denoising by incorporating guidance information.•This is the first attempt to incorporate guidance information into nonlocal methods.•The auxiliary information is used to guide the restoration of spatial coefficients.