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Enhancing hyperspectral imaging
Nature Machine Intelligence, 2021Hyperspectral imaging can reveal important information without the need for staining. To extract information from this extensive data, however, new methods are needed that can interpret the spatial and spectral patterns present in the images.
Rohit Bhargava, Kianoush Falahkheirkhah
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A hyperspectral image projector for hyperspectral imagers
SPIE Proceedings, 2007We have developed and demonstrated a Hyperspectral Image Projector (HIP) intended for system-level validation testing of hyperspectral imagers, including the instrument and any associated spectral unmixing algorithms. HIP, based on the same digital micromirror arrays used in commercial digital light processing (DLP*) displays, is capable of projecting
Joseph P. Rice +3 more
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On Hyperspectral Super-Resolution
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021In this paper we will review seminal contributions of Prof. Jose Bioucas Dias for the improvement of the spatial resolution of hyperspectral images. Be it through the extension of pansharpening algorithms with spatial and spectral sparsity priors, using spectral unmixing, using a low-rank assumption from complementary multisource data, or by designing ...
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2013
Hyperspectral cytometry is an emerging technology for single-cell analysis that combines ultrafast optical spectroscopy and flow cytometry. Spectral cytometry systems utilize diffraction gratings or prism-based monochromators to disperse fluorescence signals from multiple labels (organic dyes, nanoparticles, or fluorescent proteins) present in each ...
Gérald, Grégori +6 more
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Hyperspectral cytometry is an emerging technology for single-cell analysis that combines ultrafast optical spectroscopy and flow cytometry. Spectral cytometry systems utilize diffraction gratings or prism-based monochromators to disperse fluorescence signals from multiple labels (organic dyes, nanoparticles, or fluorescent proteins) present in each ...
Gérald, Grégori +6 more
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Compressed Hyperspectral Pansharpening
2020 IEEE International Conference on Image Processing (ICIP), 2020Hyperspectral (HS) imaging based on compressed sensing (CS) is actively studied to capture an HS image in one shot. Although CS can reconstruct an HS image from a much less number of random observations, capturing an HS image of high spatial and spectral resolution (HR-HS image) is still difficult because of current imaging systems.
Saori Takeyama, Shunsuke Ono
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Watermarking of hyperspectral data
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004Watermarking is drawing the interest of researchers in many areas due to developments in sharing resources. Watermarked data helps protect ownership rights and provides a means of detecting illegal use. In this paper, an adaptive watermarking method based on the Redundant Discrete Wavelet Transform (RDWT) is proposed and applied to hyperspectral ...
Hrishikesh Tamhankar +2 more
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Compression of hyperspectral imagery
Data Compression Conference, 2003. Proceedings. DCC 2003, 2003High dimensional source vectors, such as those that occur in hyperspectral imagery, are partitioned into a number of subvectors of different length and then each subvector is vector quantized (VQ) individually with an appropriate codebook. A locally adaptive partitioning algorithm is introduced that performs comparably in this application to a more ...
Giovanni Motta +2 more
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Compressive Hyperspectral Imaging
Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), 2023Conventional hyperspectral cameras encounter a trade-off between spatial and spectral samplings while capturing an input scene. To address this problem, we propose two imaging systems: Hyperspectral Light Field Tomography (Hyper-LIFT) and Tunable Image Projection Spectrometry (TIPS).
Qi Cui, Liang Gao
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Hyperspectral confocal microscope
Applied Optics, 2006We have developed a new, high performance, hyperspectral microscope for biological and other applications. For each voxel within a three-dimensional specimen, the microscope simultaneously records the emission spectrum from 500 nm to 800 nm, with better than 3 nm spectral resolution.
Michael B, Sinclair +3 more
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Hyperspectral In-Memory Computing
Optical Fiber Communication Conference (OFC) 2024We propose and demonstrate hyperspectral in-memory computing systems that harness both frequency and space dimensions, utilizing optical frequency combs and programmable optical memories. This approach offers the potential for energy-efficient optical information processing beyond PetaOPS-level performance.
Mostafa Honari-Latifpour +3 more
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