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2017SPIE非常规和间接成像，图像重建和波前检测专题会议（Unconventional and Indirect Imaging,Image Reconstruction,and Wavefront Sensing 2017）
2017 SPIE 非常规和间接成像，图像重建和波前检测 专题会议
2017/4/25
2017SPIE非常规和间接成像，图像重建和波前检测专题会议（Unconventional and Indirect Imaging,Image Reconstruction,and Wavefront Sensing 2017）。
A Review of Recent Range Image Reconstruction Algorithms
Laser scanning (LIDAR) Reconstruction Computer Vision Comparative analysis Process modeling
2015/12/8
Preparing virtual models by data acquired from indoor and outdoor objects, comprehensively, have been ingratiated with specialists of geomatic science. Since previous years, specialists of computer sc...
Study on the Methods of Super-resolution Image Reconstruction
Image Reconstruction Super Resolution Finite Support Deconvolution Denoise
2015/12/2
With the rapid development of space technology and its related technologies, more and more remote sensing platforms are sent to outer space to survey our earth. Recognizing and positioning all these s...
New Multiscale Transforms, Minimum Total Variation Synthesis: Applications to Edge-Preserving Image Reconstruction
Ridgelets curvelets wavelets pseudo-polar FFT Slant Stack Radon transform trigonometric interpolation total-variation edges edge-preserving tomography/deconvolution thresholding
2015/6/17
This paper describes newly invented multiscale transforms known under the name of the ridgelet [6] and the curvelet transforms [9, 8]. These systems combine ideas of multiscale analysis and geometry. ...
Gradient Flow Based Semi-implicit Finite Element Method and its Convergence Analysis for Image Reconstruction
Gradient flow, Finite element method, Convergence analysis, Image reconstruction
2012/8/10
In this paper, we present a novel L2-gradient flow based semi-implicit finite element
method for solving a variational model of image reconstruction under various data scenarios,
especially for the ...
ANALYSIS OF MOBILE LASER SCANNING DATA AND MULTI-VIEW IMAGE RECONSTRUCTION
Mobil Laser scanning LIDAR Photogrammetry Georeferencing Reconstruction Comparison
2014/4/28
The combination of laser scanning (LS, active, direct 3D measurement of the object surface) and photogrammetry (high geometric and radiometric resolution) is widely applied for object reconstruction (...
A fast 2D image reconstruction algorithm from 1D data for the Gaia mission
methods data analysis
2011/8/24
A fast 2-dimensional image reconstruction method is presented, which takes as input 1-dimensional data acquired from scans across a central source in different orientations. The resultant reconstructe...
A fast 2D image reconstruction algorithm from 1D data for the Gaia mission
methods: data analysis
2011/9/26
A fast 2-dimensional image reconstruction method is presented, which takes as input 1-dimensional data acquired from scans across a central source in different orientations. The resultant reconstructe...
Progressive Magnetic Resonance Image Reconstruction Based on Iterative Solution of a Sparse Linear System
Image Reconstruction Sparse Linear System
2009/9/8
Image reconstruction from nonuniformly sampled spatial frequency domain data is an important problem that arises in computed imaging. Current reconstruction techniques suffer from limitations in their...
Extending Three-Dimensional Weighted Cone Beam Filtered Backprojection (CB-FBP) Algorithm for Image Reconstruction in Volumetric CT at Low Helical Pitches
CB-FBP Image Reconstruction
2009/9/8
A three-dimensional (3D) weighted helical cone beam filtered backprojection (CB-FBP) algorithm (namely, original 3D weighted helical CB-FBP algorithm) has already been proposed to reconstruct images f...
We propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to improve the algebraic reconstruction technique (ART) and simultaneous algebraic reconstruction technique...
Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution
Improved Image Fusion PET/CT
2009/9/8
Purpose. To provide PET/CT image fusion with an improved PET resolution and better contrast ratios than standard reconstructions. Method. Using a super-resolution algorithm, several PET acquisitions w...
Cone-Beam Composite-Circling Scan and Exact Image Reconstruction for a Quasi-Short Object
Quasi-Short Object Cone-Beam Composite-Circling Scan
2009/9/4
Here we propose a cone-beam composite-circling mode to solve the quasi-short object problem, which is to reconstruct a short portion of a long object from longitudinally truncated cone-beam data invol...
Currently, 3D cone-beam CT image reconstruction speed is still a severe limitation for clinical application. The computational power of modern graphics processing units (GPUs) has been harnessed to pr...
Computerized Tomography with High-Energy Proton Beams: Tomographic Image Reconstruction from Computer-Simulated Data
Computerized Tomography High-Energy Proton Beams Tomographic Image Computer-Simulated Data
2010/10/25
The use of protons instead of X-rays for computerized tomography (CT) studies has potential advantages, especially for medical applications in proton treatment planning. However, the spatial resolutio...