Advances in Miniaturized Computational Spectrometers
Q Xue, Y Yang, W Ma, H Zhang, D Zhang… - Advanced …, 2024 - Wiley Online Library
Miniaturized computational spectrometers have emerged as a promising strategy for
miniaturized spectrometers, which breaks the compromise between footprint and …
miniaturized spectrometers, which breaks the compromise between footprint and …
An integrated broadband spectrometer on thin-film lithium niobate
Optical spectrometry is a tool to investigate wavelength-dependent light–matter interactions
and is widely used in astronomy, physics and chemistry. Integration and miniaturization of …
and is widely used in astronomy, physics and chemistry. Integration and miniaturization of …
Compressive sensing hyperspectral imaging by spectral multiplexing with liquid crystal
Hyperspectral (HS) imaging involves the sensing of a scene's spectral properties, which are
often redundant in nature. The redundancy of the information motivates our quest to …
often redundant in nature. The redundancy of the information motivates our quest to …
Miniaturized Hyperspectral Imager Utilizing a Reconfigurable Filter Array for Both High Spatial and Spectral Resolutions
Miniaturized hyperspectral imaging based on filter arrays has attracted much attention in
consumer applications, such as food safety and biomedical applications. In this Letter, we …
consumer applications, such as food safety and biomedical applications. In this Letter, we …
Lensless imaging with compressive ultrafast sensing
Lensless imaging is an important and challenging problem. One notable solution to lensless
imaging is a single-pixel camera that benefits from ideas central to compressive sampling …
imaging is a single-pixel camera that benefits from ideas central to compressive sampling …
Progressive compressive sensing of large images with multiscale deep learning reconstruction
Compressive sensing (CS) is a sub-Nyquist sampling framework that has been employed to
improve the performance of numerous imaging applications during the last 15 years. Yet, its …
improve the performance of numerous imaging applications during the last 15 years. Yet, its …
Hyperspectral imaging with a TWINS birefringent interferometer
We introduce a high-performance hyperspectral camera based on the Fourier-transform
approach, where the two delayed images are generated by the Translating-Wedge-Based …
approach, where the two delayed images are generated by the Translating-Wedge-Based …
Multiwavelength-multiplexed phase-shifting incoherent color digital holography
We propose multiwavelength-multiplexed phase-shifting incoherent color digital holography.
In this technique, a monochrome image sensor records wavelength-multiplexed, phase …
In this technique, a monochrome image sensor records wavelength-multiplexed, phase …
Performance comparison of tungsten-halogen light and phosphor-converted NIR LED in soluble solid content estimation of apple
H Lee, S Cho, J Lim, A Lee, G Kim, DJ Song, SW Chun… - Sensors, 2023 - mdpi.com
A Tungsten-Halogen (TH) lamp is the most popular light source in NIR spectroscopy and
hyperspectral imaging, which requires a warm-up to reach very high temperatures of up to …
hyperspectral imaging, which requires a warm-up to reach very high temperatures of up to …
DeepCubeNet: reconstruction of spectrally compressive sensed hyperspectral images with deep neural networks
Several hyperspectral (HS) systems based on compressive sensing (CS) theory have been
presented to capture HS images with high accuracy and with a lower number of …
presented to capture HS images with high accuracy and with a lower number of …