Abstract
Spectroscopic imaging has been proved to be an effective tool for many applications in a variety of fields, such as biology, medicine, agriculture, remote sensing and industrial process inspection. However, due to the demand for high spectral and spatial resolution it became extremely challenging to design and implement such systems in a miniaturized and cost effective manner. Using a Compressive Sensing (CS) setup based on a single variable Liquid Crystal (LC) retarder and a sensor array, we present an innovative Miniature Ultra-Spectral Imaging (MUSI) system. The LC retarder acts as a compact wide band spectral modulator. Within the framework of CS, a sequence of spectrally modulated images is used to recover ultra-spectral image cubes. Using the presented compressive MUSI system, we demonstrate the reconstruction of gigapixel spatio-spectral image cubes from spectral scanning shots numbering an order of magnitude less than would be required using conventional systems.
Highlights
Size m × n with m < n and, non-invertible
The Liquid Crystal Cell (LCC) is designed to work as a spectral modulator that is compliant with CS theory
We have presented a CS ultra-spectral imaging technique based on a single variable LC retarder and a parallel sensor array
Summary
Size m × n with m < n and, non-invertible. Recently, an increasing effort has been made to implement CS theory in the fields of imaging and spectroscopy[10,11,12,13,14,15,16]. It is composed of a specially designed Liquid Crystal Cell (LCC) attached to a photo sensor array. The presented approach has the advantage of compactness when compared to the more bulky methods of spectral measurement with Lyot-Öhman[18] or Šolc[19] spectral filters, as well as with the Fabry-Perot etalon[20] spectral filter. These classical methods are based on direct spectral measurement[18,19,20] implemented by narrow band spectral scanning. The use of the set of m captured images with the measured system sensing matrix in the CS framework allows numerical reconstruction of m ≪ n images that are associated with n spectral bands in a miniature size
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