Spectral imaging in a snapshot

Harvey, Andrew R.; Fletcher-Holmes, David William; Gorman, Alistair; Altenbach, Kirsten; Arlt, Jochen; Read, Nick D.

doi:10.1117/12.604609

Cited by 29 publications

(27 citation statements)

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“…This configuration was tested by Perrin et al [19] in a passive polarimeter for astronomical applications. Harvey et al [20] used this technique coupled to Lyot filters to obtain a snapshot spectral imager, but they did not exploit the polarization features of their system. The purpose of our system is to reveal contrast between objects with different polarimetric properties in a robust and easily implemented architecture.…”

Section: Choice Of the Polarization Splitting Configurationmentioning

confidence: 99%

Design and experimental validation of a snapshot polarization contrast imager

et al. 2009

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We present a degree of polarization imaging system based on a Wollaston prism and a single CCD camera. This architecture eliminates technical inaccuracies and noise sources that are present in experimental setups containing a polarization switching element. After the acquisition of two images corresponding to two orthogonal states of polarization, one can compute the orthogonal state contrast image (OSCI), which is an estimate of the local degree of polarization of the backscattered light when the observed materials are purely depolarizing. The instrument design coupled to an efficient calibration enables the estimation of the OSCI from a single image acquisition and significant reduction of technical noise present in other polarization imaging systems. The setup was tested in realistic conditions where it represents a real asset.

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Section: Choice Of the Polarization Splitting Configurationmentioning

confidence: 99%

Design and experimental validation of a snapshot polarization contrast imager

et al. 2009

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“…However, the spatial resolution of FHI is limited by FOR to 14x14 pixels (available) or to 70x70 pixels (improvement). One solution is to use image replication imaging spectrometer (IRIS) [14], which gives higher spatial resolution with the trade-off of a smaller number of spectral bands. In using IRIS, one approach is to select fewer narrow spectral bands to be sampled.…”

Section: Sensor Designmentioning

confidence: 99%

Intelligent multimodal and hyperspectral sensing for real-time moving target tracking

Wang

Zhu

2008

2008 37th IEEE Applied Imagery Pattern Recognition Workshop

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Abstract-Real time moving target tracking and identification with hyperspectral imagery is still very challenging with conventional sensors and algorithms. The increased information content of hyperspectral imaging has enabled improved classification and quantification of targets of interest. However, recording hyperspectral data for target classification is very time consuming. We design a sensor platform with multi-modalities, consisting of a dual-panoramic peripheral vision system and a narrow field-of-view hyperspectral fovea. Thus, we only need to capture hyperspectal images in regions of interest. This design is inspired by the human vision system where the periphery vision of the retina is used to detect motion and the fovea of the retina is used to recognize objects.The proposed intelligent sensors design is also supported by real-time algorithms for target detection, tracking and identification. Only hyperspectral data for areas of interest are captured for target classification and recognition. Important issue such as multimodal sensing component cooperation, region of interest extraction, target tracking, hyperspectral image analyzing and target signature identification are discussed.

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“…Traditionally this involves snapshot recording in two of the dimensions of the spectral data cube and the third dimension is scanned in time-sequence. Notable exceptions to this are a very small number of snapshot techniques: computer tomographic imaging spectrometry (CTIS) 2,3 which employs a holographic element to spectrally smear images followed by computer algorithms for reconstruction of a spectral data cube; dichroic filters to spectrally demulitiplex an image into a small number of spectral bands on a single detector array 4,5,6 , and the Image Replicating Imaging Spectrometer (IRIS) 7 as described in this paper.…”

Section: Introductionmentioning

confidence: 99%

New spectral imaging techniques for blood oximetry in the retina

Alabboud¹,

Muyo²,

Gorman³

et al. 2007

Novel Optical Instrumentation for Biomedical Applications III

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Hyperspectral imaging of the retina presents a unique opportunity for direct and quantitative mapping of retinal biochemistry -particularly of the vasculature where blood oximetry is enabled by the strong variation of absorption spectra with oxygenation. This is particularly pertinent both to research and to clinical investigation and diagnosis of retinal diseases such as diabetes, glaucoma and age-related macular degeneration. The optimal exploitation of hyperspectral imaging however, presents a set of challenging problems, including; the poorly characterised and controlled optical environment of structures within the retina to be imaged; the erratic motion of the eye ball; and the compounding effects of the optical sensitivity of the retina and the low numerical aperture of the eye. We have developed two spectral imaging techniques to address these issues. We describe first a system in which a liquid crystal tuneable filter is integrated into the illumination system of a conventional fundus camera to enable time-sequential, random access recording of narrow-band spectral images. Image processing techniques are described to eradicate the artefacts that may be introduced by time-sequential imaging. In addition we describe a unique snapshot spectral imaging technique dubbed IRIS that employs polarising interferometry and Wollaston prism beam splitters to simultaneously replicate and spectrally filter images of the retina into multiple spectral bands onto a single detector array. Results of early clinical trials acquired with these two techniques together with a physical model which enables oximetry map are reported.

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Spectral imaging in a snapshot

Cited by 29 publications

References 0 publications

Design and experimental validation of a snapshot polarization contrast imager

Design and experimental validation of a snapshot polarization contrast imager

Intelligent multimodal and hyperspectral sensing for real-time moving target tracking

New spectral imaging techniques for blood oximetry in the retina

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