3 papers
eess.IV2019
Spatial Sparse subspace clustering for Compressive Spectral imaging
Jianchen Zhu, Tong Zhang, Shengjie Zhao +3
This paper aims at developing a clustering approach with spectral images directly from CASSI compressive measurements. The proposed clustering method first assumes that compressed…
eess.IV2019
Compressive spectral imaging based on hexagonal blue noise coded apertures
Hao Zhang, Xu Ma, Gonzalo R. Arce
Coded aperture snapshot spectral imager (CASSI) is a computational imaging system that acquires a three dimensional (3D) spectral data cube by single or a few two dimensional (2D)…
cs.IT2019
Greedy Signal Space Recovery Algorithm with Overcomplete Dictionaries in Compressive Sensing
Jianchen Zhu, Shengjie Zhao, Qingjiang Shi +1
Compressive Sensing (CS) is a new paradigm for the efficient acquisition of signals that have sparse representation in a certain domain. Traditionally, CS has provided numerous met…