Results 1 to 10 of about 1,177,560 (190)
Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method [PDF]
Sensors, 2023 To solve the problem of sound field reconstruction with fewer measurement points, a sound field reconstruction method based on Bayesian compressive sensing is proposed.
Yue Xiao +4 more
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Gradient Projection with Approximate L0 Norm Minimization for Sparse Reconstruction in Compressed Sensing [PDF]
Sensors, 2018 In the reconstruction of sparse signals in compressed sensing, the reconstruction algorithm is required to reconstruct the sparsest form of signal. In order to minimize the objective function, minimal norm algorithm and greedy pursuit algorithm are most ...
Ziran Wei +5 more
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Convolutional Sparse Coding for Trajectory Reconstruction [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Trajectory basis Non-Rigid Structure from Motion (NRSfM) refers to the process of reconstructing the 3D trajectory of each point of a non-rigid object from just their 2D projected trajectories. Reconstruction relies on two factors: (i) the condition of the composed camera & trajectory basis matrix, and (ii) whether the trajectory basis has enough ...
Yingying Zhu, Simon Lucey
exaly +7 more sources
Sparse Reconstruction for Micro Defect Detection in Acoustic Micro Imaging [PDF]
Sensors, 2016 Acoustic micro imaging has been proven to be sufficiently sensitive for micro defect detection. In this study, we propose a sparse reconstruction method for acoustic micro imaging.
Yichun Zhang +6 more
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Sparse-Scan Ptychography with Hybrid-Overlap Scanning and Reference-Guided Probe Updates [PDF]
SensorsSparse-scan ptychography accelerates data acquisition but compromises the overlap-induced redundancy essential for stable blind reconstruction. In low-overlap cases, object errors are often transferred to the probe update, causing crosstalk and artifacts.
Sheng Chen +4 more
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Sensors, 2018 The miniaturization of spectrometer can broaden the application area of spectrometry, which has huge academic and industrial value. Among various miniaturization approaches, filter-based miniaturization is a promising implementation by utilizing ...
Shang Zhang +4 more
doaj +3 more sources
Photoacoustics, 2023 As a non-invasive hybrid biomedical imaging technology, photoacoustic tomography combines high contrast of optical imaging and high penetration of acoustic imaging.
Xianlin Song +7 more
doaj +3 more sources
Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images [PDF]
IEEE Transactions on Medical Imaging, 2017 David Cunefare +2 more
exaly +2 more sources
Near-Field 3D Sparse SAR Direct Imaging with Irregular Samples
Remote Sensing, 2022 Sparse imaging is widely used in synthetic aperture radar (SAR) imaging. Compared with the traditional matched filtering (MF) methods, sparse SAR imaging can directly image the scattered points of a target and effectively reduce the sidelobes and clutter
Shiqi Xing +5 more
doaj +1 more source
Sparse Shape Reconstruction [PDF]
SIAM Journal on Imaging Sciences, 2013 This paper introduces a new shape-based image reconstruction technique applicable to a large class of imaging problems formulated in a variational sense. Given a collection of shape priors (a shape dictionary), we define our problem as choosing the right elements and geometrically composing them through basic set operations to characterize desired ...
Alireza Aghasi, Justin K. Romberg
openaire +2 more sources