Reconstruction of Compressed Sensed Images with Multiple-Image Pattern Low-Rank Tensor
J Zhu, J Wang, Q Zhu, P Liu, S Li - 2018 IEEE 3rd International …, 2018 - ieeexplore.ieee.org
The technology of Multi-view images has been found wide application in 3D reconstruction,
surveillance systems and MRI. However, the volume of multi-view data is fairly large and …
surveillance systems and MRI. However, the volume of multi-view data is fairly large and …
A three-dimensional dual-domain deep network for high-pitch and sparse helical CT reconstruction
W Wang, XG Xia, C He, Z Ren, J Lu - arXiv preprint arXiv:2201.02309, 2022 - arxiv.org
In this paper, we propose a new GPU implementation of the Katsevich algorithm for helical
CT reconstruction. Our implementation divides the sinograms and reconstructs the CT …
CT reconstruction. Our implementation divides the sinograms and reconstructs the CT …
Stand-off detection of explosives and precursors using compressive sensing Raman spectroscopy
M Svanqvist, M Glimtoft, M Ågren… - Chemical …, 2016 - spiedigitallibrary.org
We present initial results on the performance of a compressive sensing setup for Raman
imaging spectroscopy for standoff trace explosives detection. Hyperspectral image …
imaging spectroscopy for standoff trace explosives detection. Hyperspectral image …
[HTML][HTML] Nonlocal Low-Rank Regularization Combined with Bilateral Total Variation for Compressive Sensing Image Reconstruction
K Zhang, Y Qin, H Zheng, H Ren, Y Hu - Electronics, 2021 - mdpi.com
The use of non-local self-similarity prior between image blocks can improve image
reconstruction performance significantly. We propose a compressive sensing image …
reconstruction performance significantly. We propose a compressive sensing image …
Image Recovery via Truncated Weighted Schatten-p Norm Regularization
L Feng, J Zhu - Cloud Computing and Security: 4th International …, 2018 - Springer
Low-rank prior knowledge has indicated great superiority in the field of image processing.
However, how to solve the NP-hard problem containing rank norm is crucial to the recovery …
However, how to solve the NP-hard problem containing rank norm is crucial to the recovery …
Sparse representation based super-resolution of MRI images with non-local total variation regularization
Diffusion-weighted and Spectroscopic MR images are found to be very helpful for diagnostic
purposes as they provide complementary information to that provided by conventional MRI …
purposes as they provide complementary information to that provided by conventional MRI …
Compressed sensing image restoration based on non-local low rank and weighted total variation
H ZHAO, J ZHANG, L ZHANG, Y LIU, T ZHANG - 电子与信息学报, 2019 - jeit.ac.cn
In order to reconstruct natural image from Compressed Sensing (CS) measurements
accurately and effectively, a CS image reconstruction algorithm based on Non-local Low …
accurately and effectively, a CS image reconstruction algorithm based on Non-local Low …
Improved Block Compressive Sensing Methods using the Modified Iterative BCS-FOCUSS
B Ahirwar, NK Gupta - 2022 Third International Conference on …, 2022 - ieeexplore.ieee.org
Compressing the digital images is an essential task for saving bandwidth of the
transmission. But recovery of compressed images is an open challenging task in hand …
transmission. But recovery of compressed images is an open challenging task in hand …
[PDF][PDF] 基于机械结构的动态物体设计的研究进展
杜冬， 王士玮， 刘利刚 - JOURNAL OF UNIVERSITY OF SCIENCE …, 2017 - staff.ustc.edu.cn
为了打破传统动态结构设计的专业领域束缚, 研究者们提出了一种“从运动到形式” 的可计算,
交互式设计思路, 辅以材质分析, 运动学与力学仿真, 模型分割, 结构分析与布局, 碰撞检测, 3D …
交互式设计思路, 辅以材质分析, 运动学与力学仿真, 模型分割, 结构分析与布局, 碰撞检测, 3D …