Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. (arXiv:2205.10102v1 [cs.CV])

In coded aperture snapshot spectral compressive imaging (CASSI) systems,
hyperspectral image (HSI) reconstruction methods are employed to recover the
spatial-spectral signal from a compressed measurement. Among these algorithms,
deep unfolding methods demonstrate promising performance but suffer from two
issues. Firstly, they do not estimate the degradation patterns and
ill-posedness degree from the highly related CASSI to guide the iterative
learning. Secondly, they are mainly CNN-based, showing limitations in capturing
long-range dependencies. In this paper, we propose a principled
Degradation-Aware Unfolding …

arxiv cv imaging transformer