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Coded aperture compressive spectral imagers allow capturing spectral imaging information of a 3D cube with just a single 2D measurement of the coded and spectrally dispersed source field. These imagers systems often rely on existing FPA detectors, SLMs, and micro mirror devices, which are often mismatched in pitch size and pixel resolution. A traditional solution consists on grouping several pixels...
The Gas Electron Multiplier (GEM) is one of the most popular and powerful technologies for gaseous ionization detectors used in high energy physics, medical physics and other applications. One of the fundamental elements of a GEM are foils with micro perforations; the quality of such perforations is determinant for an optimal performance of the GEM. In this work we study and develop different computational...
In this work, high performance Carbon Nanotube (CNT) based Infrared (IR) photodetector was used in single pixel camera, which worked in room temperature without cryogenics cooling. The compressive sensing algorithm limited IR image in low resolution due to iterative computational method. In this paper, a novel model containing smooth and edge components was introduced to reconstruct high resolution...
CMOS technology has found its way in THz imaging applications. Utilizing the plasma wave theory, a MOSFET device can detect THz radiation beyond the cutoff frequency. Assisted by the system-on-packaging technique, a CMOS source delivers radiation power more effectively. An imaging system demonstrates that a low-cost CMOS solution is feasible.
In this paper, we propose an automatic and efficient method to enhance edge sharpness of images. Starting from an image with blur edges, we improve the edges using transformed Heaviside functions for better visualization. In addition, we provide an efficient method to directly compute the scaling and shifting factors of the transformed Heaviside functions, so that blur edges can be improved accurately...
Compressive spectral imaging systems (CSI) use a focal plane array (FPA) to measure two-dimensional (2D) coded projections of a three-dimensional (3D) spatio-spectral scene. A reconstruction algorithm based on compressive sensing theory exploits the projections to retrieve the underlying 3D scene. Compressive sensing relies on two principles: sparsity and incoherence. Higher incoherence drives to...
Simultaneous PET/MRI shows great promise for improved detection and diagnosis of disease. Commercially available whole body combined PET/MRI systems are currently prohibitively expensive, limiting access to the technology. MRI-compatible PET inserts present a lower-cost alternative, adding PET capabilities to existing MRI installations. A brain sized radio-frequency (RF)-penetrable PET insert has...
The aim of the CaLIPSO project (French acronym for Liquid Ionization Calorimeter, Scintillation Position Organometallic) is to develop the proof of concept for a new gamma detector for Positron Emission Tomography (PET) scanner for small animals and human brain imaging. The objective is to achieve a spatial resolution about 1 mm3 without losing efficiency with respect to current PET systems. Moreover,...
The group at University of Illinois has developed the first generation MRI compatible SPECT (MRC-SPECT-I) using 40 highly pixelated CdTe detectors. In the paper, we examined strong magnetic distortion over detector charge collection, system response, and the corresponding correction model. The system capability of working in simultaneous SPECT/MRI imaging was also demonstrated using point source and...
High-resolution CBμCT imaging requires complex mechanical configurations that need advanced calibration procedures in order to obtain the best image quality. This work proposes a workflow for the complete geometrical calibration and characterization of a cone beam micro-CT system. Our implementation modifies methods described in previous works with updated enhancements and increased degrees of freedom...
Microchannel plates (MCPs) are routinely used in the detection of photons, electrons, and ions. Due to their high amplification and excellent timing characteristics they are particularly useful in the detection of a single photon, electron, or ion. In addition to sub-nanosecond time resolution, MCP detectors can also provide position resolution making them useful in imaging applications. In the described...
A real-time tracking-based change detection using FAST features and a background feature model are proposed as a base system for detection of human entrance and exit. A speedy FAST feature extraction and tracking has to trade-off its accuracy, which sometimes causes a failure in human entrance/exit detection. Many video sizes are therefore tested in the system to examine the trade-off effects on the...
Using synthetic aperture radar (SAR) for ship detection is a significant application for maritime monitoring and security. Ship detectors depress the disturbance from the sea surface such that the background consistently shows the sea pixels. However, in addition to water, the vast sea also contains other real objects, of which small islands are the most common. In this paper, we investigated the...
This paper presents a test of pedestrian detection in low resolution night vision infrared images. An image feature extractor based on histograms of oriented gradients followed by a Support Vector Machine (SVM) classifier are evaluated, optimized and used. Tests performed on three different night vision infrared datasets show that the classification quality of the proposed method is very high even...
We present our results on utilizing an SNSPD array and compressive imaging techniques to perform single photon imaging and present our progress toward a high-resolution single-photon camera for the mid-IR.
Several Human Interface Technology applications require reliable palm rejection. Palm rejection in upcoming touch or Pad technology has a need of hardware implementation with requirements of low power and small area. This paper introduces a hardware implementation of a real-time palm rejection based on Wronskian Determinant. This detection algorithm offers regularity, low complexity and accuracy as...
In this paper, a locally linear fitting based method is proposed for anomaly detection in hyperspectral imagery. The procedure contains four steps. Firstly, locally linear fitting is used to distinguish the isolated anomaly by the residue. To mark the background pixels in the scene, pixels are clustered in the second step. Due to different spectral signatures, the anomalous pixels and mixed background...
Earth Observation activates are important activates to gain information about earth surface, thus has important significance on military, economic and geology fields. Imaging satellites are main executor of Earth Observation activates thanks to its position advantage. However, nowadays the requirements of Earth Observation activates are more and more complex. Therefore, it is difficult, if not impossible,...
Linear spectral unmixing (LSU) and Simplex Volume (SV) are closely related. The link between these two has been recognized recently by the fact that simplex can be realized by two physical abundance constraints, Abundance Sum-to-one Constraint (ASC) and Abundance Non-negativity Constraint (ANC). In other words, all data sample vectors are embraced by a simplex with vertices which are actually the...
Classification with very high resolution (VHR) urban images is challenging because of the great variations of spectrums of pixels inside objects. Plenty of structural information can be obtained over edge statistics. A methodology for incorporating image edge statistical information into conventional classification algorithms is described. The technique is built on the statistical information of edges...
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