Synthetic Coded Apertures in Compressive Spectral Imaging: Experimental Validation

被引:0
作者
Galvis, Laura [1 ]
Arguello, Henry [2 ]
Arce, Gonzalo R. [1 ]
机构
[1] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA
[2] Univ Ind Santander, Dept Comp Sci, Bucaramanga 680002, Colombia
来源
2015 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP) | 2015年
关键词
Spectral Imaging; compressive sensing; hyper-spectral imaging; coded aperture;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Coded aperture compressive spectral imagers allow capturing spectral imaging information of a 3D cube with just a single 2D measurement of the coded and spectrally dispersed source field. These imagers systems often rely on existing FPA detectors, SLMs, and micro mirror devices, which are often mismatched in pitch size and pixel resolution. A traditional solution consists on grouping several pixels in square features with the aim to find a match between them. As a result, the resolution of the reconstructions decreases significantly. To overcome these hardware constraints, this paper develops a new model by which the high resolution of the coding and detector elements are fully exploited. Real reconstructions show the improvement and resolution gain achieved with the proposed approach compared with the grouping-pixel traditional solution.
引用
收藏
页码:605 / 608
页数:4
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