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29 results for “image filtering”
Data from: Spatiotemporal rank filtering improves image quality compared to frame averaging in 2-photon laser scanning microscopy
Live imaging of biological specimens using optical microscopy is limited by tradeoffs between spatial and temporal resolution, depth into intact samples, and phototoxicity. Two-photon laser scanning microscopy (2P-LSM), the gold standard for imaging turbid samples in vivo, has conventionally constructed images with sufficient signal-to-noise ratio (SNR) generated by sequential raster scans of the focal plane and temporal integration of the collected signals. Here, we describe spatiotemporal rank filtering, a nonlinear alternative to temporal integration, which makes more efficient use of collected photons by selectively reducing noise in 2P-LSM images during acquisition. This results in much higher SNR while preserving image edges and fine details. Practically, this allows for at least a four fold decrease in collection times, a substantial improvement for time-course imaging in biological systems.
Data from: Spatiotemporal rank filtering improves image quality compared to frame averaging in 2-photon laser scanning microscopy
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Data from: Depth image super-resolution reconstruction based on a modified joint trilateral filter
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JointSearch: Efficient parametric detailing preparation through user-defined and property-based joint type filtering - Additional images
<p>The pdf contains additional images for a journal-publication titled: </p> <p>"JointSearch: Efficient parametric detailing preparation through user-defined and property-based joint type filtering - Additional images"</p> <p><strong>Page1: </strong> I-beam composite. Three different local alignments and three different cross-sections are inputted into the composite. The cross-sections share width and height but are locally aligned to create the I-beam-profile</p> <p><strong>Page2:</strong> Simplified diagram of Reindeer's class structure</p> <p><strong>Page3: </strong>Identification of foundation joints based on two criteria. The different topology of the structures are irrelevant for the result</p> <p><strong>Page4: </strong>Deconstructing the foundation joint for detailing</p> <p><strong>Page5: </strong>How to output interior details that contain 3 or 4 elements. The top left detail shows the default output. The right detail has unified element vectors and clock-wise sorted elements</p> <p><strong>Page6: </strong>The grasshopper-definition shows how purple joint types are identified</p>
Benefit of Tin Filter in Regards to Image Quality and Radiation Dose in CT Scan Study of Pulmonary Parenchyma
ClinicalTrials.gov study NCT04119141. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of Image Filters for their integration with LSQR Computerized Tomography Reconstruction Method (Results)
<p>Resulting reconstructed images in .mat files</p>
Protocol for Evaluation of Quarter-Time Cardiac Imaging: 5-Minutes Rest and 3-Minutes Stress Wide Beam Reconstruction (WBR) Versus Full-Time Filtered Back Projection (FBP)
ClinicalTrials.gov study NCT00661752. IPD Sharing: Not stated. Countries: 0. Publications: 0.
SAR Image Enhancement using Particle Filters
In this paper, we propose a novel approach to reduce the noise in Synthetic Aperture Radar (SAR) images using particle filters. Interpretation of SAR images is a difficult problem, since they are contaminated with a multiplicative noise, which is known as the “Speckle Noise”. In literature, the general approach for removing the speckle is to use the local statistics, which are computed in a square window. Here, we propose to use particle filters, which is a sequential Bayesian technique. The proposed method also uses the local statistics to denoise the images. Since this is a Bayesian approach, the computed statistics of the window can be exploited as a priori information. Moreover, particle filters are sequential methods, which are more appropriate to handle the heterogeneous structure of the image. Computer simulations show that the proposed method provides better edge-preserving results with satisfactory speckle removal, when compared to the results obtained by Gamma Maximum a posteriori (MAP) filter.
Lookup Tables and Code for "Impact of Scene-Specific Enhancement Spectra on Matched Filter Greenhouse Gas Retrievals from Imaging Spectroscopy"
<p>Lookup Tables and Code for <a href="https://doi.org/10.1016/j.rse.2021.112574">"Impact of Scene-Specific Enhancement Spectra on Matched Filter Greenhouse Gas Retrievals from Imaging Spectroscopy"</a></p><p>The <a href="https://hive.utah.edu/concern/datasets/9w0323039?locale=en">original dataset link</a> is broken, so I uploaded it here for personal use.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.