Xiaoming Zhong

Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery

Exploiting the prior information is fundamental for the image reconstruction in computational hyperspectral imaging. Existing methods usually unfold the 3D signal as a 1D vector and treat the prior information within different dimensions in an indiscriminative manner, which ignores the high-dimensio…