作者
Xing Lin, Yebin Liu, Jiamin Wu, Qionghai Dai
发表日期
2014/11/19
期刊
ACM Transactions on Graphics (TOG)
卷号
33
期号
6
页码范围
1-11
出版商
ACM
简介
This paper proposes a novel compressive hyperspectral (HS) imaging approach that allows for high-resolution HS images to be captured in a single image. The proposed architecture comprises three key components: spatial-spectral encoded optical camera design, over-complete HS dictionary learning and sparse-constraint computational reconstruction. Our spatial-spectral encoded sampling scheme provides a higher degree of randomness in the measured projections than previous compressive HS imaging approaches; and a robust nonlinear sparse reconstruction method is employed to recover the HS images from the coded projection with higher performance. To exploit the sparsity constraint on the nature HS images for computational reconstruction, an over-complete HS dictionary is learned to represent the HS images in a sparser way than previous representations. We validate the proposed approach on …
学术搜索中的文章
X Lin, Y Liu, J Wu, Q Dai - ACM Transactions on Graphics (TOG), 2014