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

• Published in: Proceedings / IEEE International Conference on Computer Vision pp. 10182 - 10191
• Main Authors: Zhang, Shipeng, Wang, Lizhi, Fu, Ying, Zhong, Xiaoming, Huang, Hua
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2019

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...