Results 51 to 60 of about 6,275,177 (375)
Multispectral principal component imaging
Optics Express, 2003 We analyze a novel multispectral imager that directly measures the principal component features of an object. Optical feature extraction is studied for color face images, multi-spectral LANDSAT-7 images, and their grayscale equivalents. Blockwise feature extraction is performed that exploits both spatial and spectral correlation, with the goal of ...
Himadri, Pal, Mark, Neifeld
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Snapshot Multispectral Imaging [PDF]
PhotonicsViews, 2019 AbstractA multispectral imaging concept based on a multi‐aperture system approach using a customized microlens array combined with a slanted continuously variable bandpass filter and a silicon‐based image sensor helps to overcome the restrictions of scanning techniques or wafer‐level coated detectors.
Oliver Pust, Martin Hubold
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Journal of Clinical Medicine, 2019 Hyperspectral/Multispectral imaging (HSI/MSI) technologies are able to sample from tens to hundreds of spectral channels within the electromagnetic spectrum, exceeding the capabilities of human vision. These spectral techniques are based on the principle
S. Ortega +4 more
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Multispectral imaging via nanostructured random broadband filtering.
Optics Express, 2020 It is a challenge to acquire a snapshot image of very high resolutions in both spectral and spatial domain via a single short exposure. In this setting one cannot trade time for spectral resolution, such as via spectral bands scanning.
Xiaolin Wu +3 more
semanticscholar +1 more source
Emerging contrast agents for multispectral optoacoustic imaging and their biomedical applications.
Chemical Society Reviews, 2021 Optoacoustic imaging is a hybrid biomedical imaging modality which collects ultrasound waves generated via photoexciting contrast agents in tissues and produces images of high resolution and penetration depth.
Yinglong Wu +3 more
semanticscholar +1 more source
SUPER-RESOLUTION OF MULTISPECTRAL IMAGES [PDF]
Modelling and Simulation in Science, 2007 In this paper we propose and analyze a globally and locally adaptive super-resolution Bayesian methodology for pansharpening of multispectral images. The methodology incorporates prior knowledge on the expected characteristics of the multispectral images uses the sensor characteristics to model the observation process of both panchromatic and ...
M. Vega +3 more
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Review on Multispectral Photoacoustic Imaging Using Stimulated Raman Scattering Light Sources
SensorsPhotoacoustic imaging is an advanced biomedical imaging technique that has been widely developed and applied in diverse biomedical studies. By generating optical-absorption-based signals with ultrasound resolution, it enables in vivo visualization of ...
Yuon Song +4 more
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Evaluating online filtering algorithms to enhance dynamic multispectral optoacoustic tomography
Photoacoustics, 2020 Multispectral optoacoustic tomography (MSOT) is an emerging imaging modality, which is able to capture data at high spatiotemporal resolution using rapid tuning of the excitation laser wavelength. However, owing to the necessity of imaging one wavelength
Devin O’Kelly +2 more
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Single Sensor Multi-Spectral Imaging
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2020 This dissertation presents the benefits of using a multispectral Single Sensor Camera (SSC) that, simultaneously acquire images in the visible and near-infrared (NIR) bands.
Xavier Soria Poma
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Illuminant estimation in multispectral imaging [PDF]
Journal of the Optical Society of America A, 2017 With the advancement in sensor technology, the use of multispectral imaging is gaining wide popularity for computer vision applications. Multispectral imaging is used to achieve better discrimination between the radiance spectra, as compared to the color images. However, it is still sensitive to illumination changes.
Khan, Haris Ahmad +3 more
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