Results 71 to 80 of about 302,463 (187)
Sparse Convolutional Beamforming for Ultrasound Imaging [PDF]
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2018 The standard technique used by commercial medical ultrasound systems to form B-mode images is delay and sum (DAS) beamforming. However, DAS often results in limited image resolution and contrast, which are governed by the center frequency and the aperture size of the ultrasound transducer.
Regev Cohen, Yonina C. Eldar
openaire +3 more sources
Sparse Deconvolution of B-Scan Images [PDF]
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2007 In this paper, a new computationally efficient sparse deconvolution algorithm for the use on B-scan images from objects with relatively few scattering targets is presented. It is based on a linear image formation model that has been used earlier in connection with linear minimum mean squared error (MMSE) two-dimensional (2-D) deconvolution.
Tomas, Olofsson, Erik, Wennerström
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Generalized Inpainting Method for Hyperspectral Image Acquisition
, 2015 A recently designed hyperspectral imaging device enables multiplexed acquisition of an entire data volume in a single snapshot thanks to monolithically-integrated spectral filters.
Blanch, Carolina +6 more
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Sparse Total Focus Imaging of Rail Transit Rail Defects Based on Grey Wolf Algorithm
Chengshi guidao jiaotong yanjiu[Objective] Using the ultrasonic phased array technology can realize high-precision imaging detection of rail transit rail defects. However, the widely used FMC-TFM (full matrix capture-total focusing method) has the disadvantages of long computation ...
Lubin QIAN +4 more
doaj +1 more source
, 2017 We develop a formalism for measuring the cosmological distance scale from baryon acoustic oscillations (BAO) using the cross-correlation of a sparse redshift survey with a denser photometric sample. This reduces the shot noise that would otherwise affect
Eisenstein, Daniel J., Patej, Anna
core +1 more source
Super-resolution far-field ghost imaging via compressive sampling
, 2011 Much more image details can be resolved by improving the system's imaging resolution and enhancing the resolution beyond the system's Rayleigh diffraction limit is generally called super-resolution.
A Gatti +30 more
core +1 more source
Sparse Multiscale Patches for Image Processing [PDF]
, 2009 This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) define a set of features that capture the information contained in the image relevant for the given task and 2) define a similarity measure in this feature space.
Piro, Paolo +3 more
openaire +2 more sources
Experiment based on orbit satellite and application for sparse microwave imaging
Tongxin xuebao, 2017 The experiment aiming to verify the sparse microwave image methodology based on orbit SAR satellite was presented.During the experiment,the imaging parameters were changed in order to achieve the uniform de-sampling echo data.The image quality evaluation
Jing TIAN +4 more
doaj +2 more sources
Remote Sensing, 2018 In recent years, the development of compressed sensing (CS) and array signal processing provides us with a broader perspective of 3D imaging. The CS-based imaging algorithms have a better performance than traditional methods.
Zekun Jiao +4 more
doaj +1 more source
Frontiers in Cellular Neuroscience, 2019 Voltage imaging of many neurons simultaneously at single-cell resolution is hampered by the difficulty of detecting small voltage signals from overlapping neuronal processes in neural tissue. Recent advances in genetically encoded voltage indicator (GEVI)
Peter Quicke +16 more
doaj +1 more source