Results 71 to 80 of about 1,596,426 (191)

Deflection Tomography Reconstruction Based on Diagonal Total Variation

MATEC Web of Conferences, 2018
In view of the shortages of the reconstruction algorithm based on Total Variation (TV) minimum under the framework of measured field compressed sensing, we study the measured field sparse representation method and solving method of optimization equation,
Li Huaxin, Pan Jinxiao
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Helical CT Reconstruction From Sparse-View Data Through Exploiting the 3D Anatomical Structure Sparsity

IEEE Access, 2021
Sparse-view scanning has great potential for realizing ultra-low-dose computed tomography (CT) examination. However, noise and artifacts in reconstructed images are big obstacles, which must be handled to maintain the diagnosis accuracy.
Yongbo Wang, Gaofeng Chen, Tao Xi, Zhaoying Bian, Dong Zeng, Habib Zaidi, Ji He, Jianhua Ma   +7 more
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Neural Network for Sparse Reconstruction [PDF]

Mathematical Problems in Engineering, 2014
We construct a neural network based on smoothing approximation techniques and projected gradient method to solve a kind of sparse reconstruction problems. Neural network can be implemented by circuits and can be seen as an important method for solving optimization problems, especially large scale problems.
Qingfa Li, Yaqiu Liu, Liangkuan Zhu
openaire   +1 more source

A Low-Cost Computational Spectrometer Based on a Trained Sparse Base Matrix

Sensors
Computational spectrometers based on coded measurement and computational reconstruction have great application prospects. This paper proposes a computational spectrometer that has a low cost, is easy to implement in hardware, and has high reconstruction ...
Yanbo Gao, Hejia Pan, Yajuan Sheng, Rui Wen, Yuanhao Zheng, Lin Yang   +5 more
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Sparse View CT Image Reconstruction Based on Total Variation and Wavelet Frame Regularization

IEEE Access, 2020
The sparse view problem of image reconstruction encountered in computed tomography (CT) is an important research issue due to its considerable potential in lowering radiation dose.
Zhaoyan Qu, Ximing Yan, Jinxiao Pan, Ping Chen   +3 more
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Improving the Signal-to-Noise Ratio of Superresolution Imaging Based on Single-Pixel Camera

IEEE Photonics Journal, 2019
Based on the theories of single-pixel camera and compressed sensing image reconstruction, the sparse basis, the projection method of measurement matrix, and the signal reconstruction algorithm are optimized. First, for the sparse representation of image,
Ziran Wei, Jianlin Zhang, Zhiyong Xu, Yong Liu, Yongmei Huang, Xiangsuo Fan   +5 more
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Sparse Reconstruction Method for Separating Cardiac and Respiratory Components from Electrical Bioimpedance Measurements

Elektronika ir Elektrotechnika, 2018
In this work, we investigate the possibility of employing sparse reconstruction framework for the separation of cardiac and respiratory signal components from the bioimpedance measurements.
Maksim Butsenko, Olev Martens, Andrei Krivosei, Yannick Le Moullec   +3 more
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Image Super-Resolution via Self-Similarity Learning and Conformal Sparse Representation

IEEE Access, 2018
It is well known that the super-resolution reconstruction method based on sparse representation has a superior research value. However, the sparse coefficients of low-resolution (LR) patches by a classic method are not loyal to high-resolution (HR ...
Shiyan Wang, Yaoyao Wei, Ken Long, Xi Zeng, Min Zheng   +4 more
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LRPS‐GCN: A millimeter wave sparse imaging algorithm based on graph signal

IET Radar, Sonar & Navigation
Aiming at the problems of slow speed and poor accuracy of traditional millimeter wave sparse imaging, a sparse imaging algorithm based on graph convolution model is proposed from the perspective of sparse signal recovery.
Li Che, Yongman Wu, Liubing Jiang, Yujie Mu   +3 more
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Sparse Three-dimensional Imaging Based on Hough Transform for Forward-looking Array SAR in Low SNR

Leida xuebao, 2017
The performance of sparse reconstruction algorithm of compressive sensing in low Signal-to-Noise Ratio (SNR) is lower, and the quality of sparse three-dimensional imaging for forward-looking array synthetic aperture radar in low SNR is reduced greatly ...
Liu Xiangyang, Yang Jungang, Meng Jin, Zhang Xiao, Niu Dezhi   +4 more
doaj   +1 more source