Results 21 to 30 of about 288,028 (263)

Visualization of simulated small vessels on computed tomography using a model-based iterative reconstruction technique

open access: yesData in Brief, 2017
This article describes a quantitative evaluation of visualizing small vessels using several image reconstruction methods in computed tomography. Simulated vessels with diameters of 1–6 mm made by 3D printer was scanned using 320-row detector computed ...
Toru Higaki   +7 more
doaj   +1 more source

Virtual Reconstruction Method of Regional 3D Image Based on Visual Transmission Effect

open access: yesComplexity, 2021
In order to solve the problems of poor user experience and low human-computer interaction efficiency, this paper designs a 3D image virtual reconstruction system based on visual communication effects.
Jing Yin, Jong Hoon Yang
doaj   +1 more source

Serial Decoders-Based Auto-Encoders for Image Reconstruction

open access: yesApplied Sciences, 2022
Auto-encoders are composed of coding and decoding units; hence, they hold an inherent potential of being used for high-performance data compression and signal-compressed sensing.
Honggui Li   +3 more
doaj   +1 more source

Self-Guided Limited-Angle Computed Tomography Reconstruction Based on Anisotropic Relative Total Variation

open access: yesIEEE Access, 2020
In some computed tomography (CT) applications, limited-angle projections are used for image reconstruction, and traditional reconstruction methods, such as filtered back-projection (FBP) or simultaneous algebraic reconstruction technique (SART), cannot ...
Changcheng Gong, Li Zeng
doaj   +1 more source

Simulation of 3D Image Reconstruction in Rigid body Motion

open access: yesMATEC Web of Conferences, 2018
3D image reconstruction under rigid body motion is affected by rigid body motion and visual displacement factors, which leads to low quality of 3D image reconstruction and more noise, in order to improve the quality of 3D image reconstruction of rigid ...
Chen Huihong, Li Shiming
doaj   +1 more source

LOFAR sparse image reconstruction [PDF]

open access: yesAstronomy & Astrophysics, 2015
Context. The LOw Frequency ARray (LOFAR) radio telescope is a giant digital phased array interferometer with multiple antennas distributed in Europe. It provides discrete sets of Fourier components of the sky brightness. Recovering the original brightness distribution with aperture synthesis forms an inverse problem that can be solved by various ...
Garsden, H.   +80 more
openaire   +11 more sources

A Benchmark Dataset and Deep Learning-Based Image Reconstruction for Electrical Capacitance Tomography

open access: yesSensors, 2018
Electrical Capacitance Tomography (ECT) image reconstruction has developed for decades and made great achievements, but there is still a need to find a new theoretical framework to make it better and faster.
Jin Zheng, Jinku Li, Yi Li, Lihui Peng
doaj   +1 more source

Image Reconstruction Based on Fused Features and Perceptual Loss Encoder-Decoder Residual Network for Space Optical Remote Sensing Images Compressive Sensing

open access: yesIEEE Access, 2021
Compressive sensing (CS) technology is introduced into space optical remote sensing image acquisition stage, which could make wireless image sensor network node quickly and accurately obtain images in the case of two constraints of limited battery power ...
Shuming Xiao, Shaoju Wang, Lin Chang
doaj   +1 more source

3D point cloud generation reconstruction from single image based on image retrieval

open access: yesResults in Optics, 2021
Most of the 3D point cloud generation methods from a single image are only applicable to a single target. However, the real image often contains multiple targets, which is difficult to generate 3D point clouds from the network directly.
Hui Chen, Yipeng Zuo, Yong Tong, Li Zhu
doaj   +1 more source

Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging

open access: yesBioengineering, 2023
Magnetic resonance (MR) image reconstruction and super-resolution are two prominent techniques to restore high-quality images from undersampled or low-resolution k-space data to accelerate MR imaging. Combining undersampled and low-resolution acquisition
Wei Xu   +6 more
doaj   +1 more source

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