English

Speckle-based hyperspectral imaging combining multiple scattering and compressive sensing in nanowire mats

Optics 2017-05-09 v1

Abstract

Encoding of spectral information onto monochrome imaging cameras is of interest for wavelength multiplexing and hyperspectral imaging applications. Here, the complex spatio-spectral response of a disordered material is used to demonstrate retrieval of a number of discrete wavelengths over a wide spectral range. Strong, diffuse light scattering in a semiconductor nanowire mat is used to achieve a highly compact spectrometer of micrometer thickness, transforming different wavelengths into distinct speckle patterns with nanometer sensitivity. Spatial multiplexing is achieved through the use of a microlens array, allowing simultaneous imaging of many speckles, ultimately limited by the size of the diffuse spot area. The performance of different information retrieval algorithms is compared. A compressive sensing algorithm exhibits efficient reconstruction capability in noisy environments and with only a few measurements.

Keywords

Cite

@article{arxiv.1705.02991,
  title  = {Speckle-based hyperspectral imaging combining multiple scattering and compressive sensing in nanowire mats},
  author = {Rebecca French and Sylvain Gigan and Otto L. Muskens},
  journal= {arXiv preprint arXiv:1705.02991},
  year   = {2017}
}