ABSTRACT
Compressive sensing (CS) has recently emerged as an efficient technique for sampling a signal with fewer coefficients than dictated by classical Shannon/ Nyquist theory. CS has also been used to develop innovative 'compressive' imaging systems. This chapter describes a prototype implementation of a compressive hyperspectral imager, highlighting design, and data quality issues. CS theory has been applied to the development of several optical instruments, in particular optical cameras and imaging spectrometers. The prototype CS single-pixel hyperspectral imager with stereoscopic capabilities is an example of CS architecture applied to 3D imaging. The main instrument selected for the CS investigation is a push-broom imaging spectrometer manufactured by the firm Horiba Jobin Yvon, Kyoto, Japan (model iHR550). The control of the instrument prototype performing acquisition of CS data is obtained by two independent computers, one devoted to the acquisition of digital images captured by the DALSA camera dedicated to generation of the pseudorandom images displayed by the Liquid Crystal on Silicon (LCoS) modulator.
