High-SNR Hyperspectral Night-Vision Image Acquisition with Multiplexing

High-throughput and high-spectral resolution are essential requirements for spectrometers. Conventional slit-based spectrometers require the input slit to be narrow to achieve a reasonable resolution. However, too small a slit cannot gather enough radiation. Many designs have been presented to address these demands. One method (i.e. the Jacquinot advantage) maximised throughput without sacrificing spectral resolution. Over several decades, there have been two important, strongly investigated approaches to improving spectrometre performance. One resulted in the coded-aperture spectrometre (CAS); another resulted in the Fourier transform spectrometre (FTS). CAS replaced the slit with a two-dimensional coded matrix aperture (i.e. mask), introduced to increase light throughput without loss of spectral resolution. After more than half a century of development, the top CAS is the Hadamard transform spectrometre (HTS), whose encoded aperture theories are based on Hadamard matrices. However, there have more recently been some new static, multiplex CASs proposed, based on new mathematical models. In this chapter, we introduce the multiplexing measurements applied to spectrometers for high-SNR data acquisition.

[1]  Bingliang Hu,et al.  Analysis and study of the interlaced encoding pixels in Hadamard transform spectral imager based on DMD , 2012 .

[2]  N. Sloane,et al.  Hadamard transform optics , 1979 .

[3]  Jiang Yue,et al.  High-SNR spectrum measurement based on Hadamard encoding and sparse reconstruction , 2017 .

[4]  M. Golay Static multislit spectrometry and its application to the panoramic display of infrared spectra. , 1951, Journal of the Optical Society of America.

[5]  N. Shimano,et al.  Recovery of spectral reflectances of objects being imaged without prior knowledge , 2006, IEEE Transactions on Image Processing.

[6]  Jiang Yue,et al.  High-throughput deconvolution-resolved computational spectrometer , 2014 .

[7]  Michael Corson,et al.  Hyperspectral Imager for the Coastal Ocean: instrument description and first images. , 2011, Applied optics.

[8]  C. Helstrom,et al.  Compensation for readout noise in CCD images , 1995 .

[9]  M. Golay Multi-slit spectrometry. , 1949, Journal of the Optical Society of America.

[10]  A. Girard Spectromètre à Grilles , 1963 .

[11]  Michael J. Cree,et al.  Optical full Hadamard matrix multiplexing and noise effects. , 2009 .

[12]  R. Lucke,et al.  Impact of signal-to-noise ratio in a hyperspectral sensor on the accuracy of biophysical parameter estimation in case II waters. , 2012, Optics express.

[13]  D Aspinall,et al.  Real-time multiplexing of dispersed spectra in any wavelength region. , 1968, Applied optics.

[14]  Jiang Yue,et al.  Denoising analysis of spatial pixel multiplex coded spectrometer with Hadamard H-matrix , 2018 .

[15]  R M Hammaker,et al.  Multiplex advantage in Hadamard transform spectrometry utilizing solid-state encoding masks with uniform, bistable optical transmission defects. , 1987, Applied optics.

[16]  A. Wuttig Optimal transformations for optical multiplex measurements in the presence of photon noise. , 2005, Applied optics.

[17]  Tianxu Zhang,et al.  Spatial-spectral method for classification of hyperspectral images. , 2013, Optics letters.

[18]  Xin Sun,et al.  An engineering prototype of Hadamard transform spectral imager based on Digital Micro-mirror Device , 2012 .

[19]  D. Brady,et al.  Coded aperture spectroscopy with denoising through sparsity. , 2012, Optics express.

[20]  R Damaschini Limitation of the multiplex gain in Hadamard transform spectroscopy , 1993 .

[21]  D. Brady,et al.  Dispersion multiplexing with broadband filtering for miniature spectrometers. , 2007, Applied optics.

[22]  Mark A Arnold,et al.  Solid-State Digital Micro-Mirror Array Spectrometer for Hadamard Transform Measurements of Glucose and Lactate in Aqueous Solutions , 2011, Applied spectroscopy.