Abstract
Hyperspectral imaging remote sensing is mutually restricted in terms of spatial and spectral resolutions, signal-to-noise ratio and exposure time. To deal with this trade-off properly, it is beneficial for imaging systems to have high light flux. In this paper, we put forward a novel hyperspectral imaging method with high light flux bioinspired by chromatic blur vision in color blind animals. We designed a camera lens with high degree of longitudinal chromatic aberration, a monochrome image sensor captured the chromatic blur images at different focal lengths. Finally, by using the known point spread functions of the chromatic blur imaging system, we process these chromatically blurred images by deconvolution based on singular value decomposition inverse filtering, and the spectral images of a target were restored. We constructed three different targets for validating image restoration based on a typical octopus eyeball imaging system. The results show that the proposed imaging method can effectively extract spectral images from the chromatically blurred images. This study can facilitate development of a novel bionic hyperspectral imaging, which may benefit from the high light flux of a large aperture and provide higher detection sensitivity.
Highlights
Hyperspectral imaging is a combination of imaging and spectroscopy technologies, which is a collection of narrowband or spectrally continuous image data obtained in the ultraviolet, visible, near-infrared, and infrared wavelength bands
We produced a video to demonstrate the methods and results of hyperspectral imaging performance of the method and compare it with an existing method proposed by Stubbs et al In bioinspired byalso chromatic blura vision indemonstrate color blind animals, as showed in Video addition, we produced video to the methods and results of hyperspectral imaging bioinspired by chromatic blur vision in color blind animals, as showed in Video S1
We used the deconvolution method of the singular value decomposition (SVD) inverse filtering to process chromatically blurred images based on a chromatic blur imaging system bioinspired by color blind animals, and obtained images based on a chromatic blur imaging system bioinspired by color blind animals, and obtained accurate and spatially clear spectral images
Summary
Hyperspectral imaging is a combination of imaging and spectroscopy technologies, which is a collection of narrowband or spectrally continuous image data obtained in the ultraviolet, visible, near-infrared, and infrared wavelength bands. Hyperspectral imaging is mainly applied in the field of remote sensing [1,2,3], including geological exploration, crops and vegetation observation, meteorological observation, atmospheric and ocean monitoring, military target detection, etc. The continuous development of hyperspectral imaging technology has enabled its use in other fields, including biomedical [4], food analysis [5], etc. The main spectroscopic methods of hyperspectral imaging can be classified in four modes according to the dispersion components: filter, prism/grating, tunable filter, and Fourier transform interferometer. Among these modes, the most commonly used are prism/grating dispersion and interference. Because the optical radiation energy of an object in a single narrowband is very low, hyperspectral imaging are mutually restricted in terms of spatial resolution, spectral resolution, signal-to-noise ratio (SNR), and exposure time especially in the remote sensing applications [6]
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