This Letter presents a new snapshot approach to hyperspectral imaging via dual-optical coding and compressive computational reconstruction. We demonstrate that two high-speed spatial light modulators, located conjugate to the image and spectral plane, respectively, can code the hyperspectral datacube into a single sensor image such that the high-resolution signal can be recovered in postprocessing. We show various applications by designing different optical modulation functions, including programmable spatially varying color filtering, multiplexed hyperspectral imaging, and high-resolution compressive hyperspectral imaging. © 2014 Optical Society of America OCIS codes: (120.6200) Spectrometers and spectroscopic instrumentation; (110.1758) C...
Compressive spectral imaging (CSI) systems capture the 3D spatiospectral data by measuring the 2D co...
The idea of capturing hundreds to thousands images of an object, e.g., biological specimen, in diffe...
Figure 1: 3D hyperspectral (HS) images reconstructed from a single spatial-spectral encoded 2D proje...
This letter presents a new snapshot approach to hyper-spectral imaging via dual optical coding and c...
Abstract: We present a new snapshot approach to hyper-spectral (HS) imaging via dual optical coding ...
Hyperspectral video imaging remains a challenging task given the high dimensionality of the datasets...
We demonstrate a single-shot, dual-disperser spectral imaging system using coded apertures to perfor...
Abstract—A blind compressive sensing algorithm is proposed to reconstruct hyperspectral images from ...
Hyperspectral imaging typically produces huge data volume that demands enormous computational resour...
International audienceRecently we demonstrated the reconstruction of a hyperspectral datacube with 1...
Compressive sensing (CS) (Candes and Tao 2006) has recently emerged as an efficient technique for sa...
Acquisition of high dimensional Hyperspectral Imaging (HSI) data using limited dimensionality imagin...
This paper introduces a single-pixel HyperSpectral (HS) imaging framework based on Fourier Transform...
We describe a compressive hyperspectral imaging scheme that randomly convolves each spectral band of...
International audienceIn the past years, one common way of enhancing the spatial resolution of a hyp...
Compressive spectral imaging (CSI) systems capture the 3D spatiospectral data by measuring the 2D co...
The idea of capturing hundreds to thousands images of an object, e.g., biological specimen, in diffe...
Figure 1: 3D hyperspectral (HS) images reconstructed from a single spatial-spectral encoded 2D proje...
This letter presents a new snapshot approach to hyper-spectral imaging via dual optical coding and c...
Abstract: We present a new snapshot approach to hyper-spectral (HS) imaging via dual optical coding ...
Hyperspectral video imaging remains a challenging task given the high dimensionality of the datasets...
We demonstrate a single-shot, dual-disperser spectral imaging system using coded apertures to perfor...
Abstract—A blind compressive sensing algorithm is proposed to reconstruct hyperspectral images from ...
Hyperspectral imaging typically produces huge data volume that demands enormous computational resour...
International audienceRecently we demonstrated the reconstruction of a hyperspectral datacube with 1...
Compressive sensing (CS) (Candes and Tao 2006) has recently emerged as an efficient technique for sa...
Acquisition of high dimensional Hyperspectral Imaging (HSI) data using limited dimensionality imagin...
This paper introduces a single-pixel HyperSpectral (HS) imaging framework based on Fourier Transform...
We describe a compressive hyperspectral imaging scheme that randomly convolves each spectral band of...
International audienceIn the past years, one common way of enhancing the spatial resolution of a hyp...
Compressive spectral imaging (CSI) systems capture the 3D spatiospectral data by measuring the 2D co...
The idea of capturing hundreds to thousands images of an object, e.g., biological specimen, in diffe...
Figure 1: 3D hyperspectral (HS) images reconstructed from a single spatial-spectral encoded 2D proje...