SPECTRAL FILTRATION OF IMAGES BY MEANS OF DISPERSIVE SYSTEMS
https://doi.org/10.21122/2220-9506-2016-7-3-92-102
Abstract
Instruments for spectral filtration of images are an important element of the systems used in remote sensing, medical diagnostics, in-process measurements. The aim of this study is analysis of the functional features and characteristics of the proposed two image monochromator versions which are based on dispersive spectral filtering. The first is based on the use of a dispersive monochromator, where collimating and camera lenses form a telescopic system, the dispersive element of which is within the intermediate image plane. The second version is based on an imaging double monochromator with dispersion subtraction by back propagation. For the telescopic system version, the spectral and spatial resolutions are estimated, the latter being limited by aberrations and diffraction from the entrance slit. The device has been numerically simulated and prototyped. It is shown that for the spectral bandwidth 10 nm (visible spectral range), the aberration-limited spot size is from 10–20 μm at the image center to about 30 μm at the image periphery for the image size 23–27 mm. The monochromator with dispersion subtraction enables one to vary the spectral resolution (up to 1 nm and higher) by changing the intermediate slit width. But the distinctive feature is a significant change in the selected central wavelength over the image field. The considered designs of dispersive image monochromators look very promising due to the particular advantages over the systems based on tunable filters as regards the spectral resolution, fast tuning, and the spectral contrast. The monochromator based on a telescopic system has a simple design and a rather large image field but it also has a limited light throughput due to small aperture size. The monochromator with dispersion subtraction has higher light throughput, can provide high spectral resolution when recording a full data cube in a series of measuring acts for different dispersive element positions.
About the Authors
I. M. GulisBelarus
Address for correspondence: Gulis I.M. – Belarusian State University, Nezavisimosty Ave., 4, 220030, Minsk, Belarus e-mail: gulis@bsu.by
A. G. Kupreyeu
Belarus
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Review
For citations:
Gulis I.M., Kupreyeu A.G. SPECTRAL FILTRATION OF IMAGES BY MEANS OF DISPERSIVE SYSTEMS. Devices and Methods of Measurements. 2016;7(3):262-270. (In Russ.) https://doi.org/10.21122/2220-9506-2016-7-3-92-102