Results 11 to 20 of about 288,028 (263)

Lightweight Image Super-Resolution Reconstruction Based on Depthwise Separable Convolution [PDF]

Jisuanji gongcheng, 2022
Image super-resolution reconstruction aims to reconstruct a high-resolution image close to the real image according to the low-resolution image.The existing image super-resolution reconstruction methods based on the Convolutional Neural Network(CNN ...
LIU Cong, QU Dan, SI Nianwen, WEI Ziwei
doaj   +1 more source

Generalized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples

Sensors, 2021
In this paper, we use Frame Theory to develop a generalized OCT image reconstruction method using redundant and non-uniformly spaced frequency domain samples that includes using non-redundant and uniformly spaced samples as special cases. We also correct
Karim Nagib, Biniyam Mezgebo, Namal Fernando, Behzad Kordi, Sherif S. Sherif   +4 more
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Metal Artifact Reduction in CT: Where Are We After Four Decades?

IEEE Access, 2016
Methods to overcome metal artifacts in computed tomography (CT) images have been researched and developed for nearly 40 years. When X-rays pass through a metal object, depending on its size and density, different physical effects will negatively affect ...
Lars Gjesteby, Bruno De Man, Yannan Jin, Harald Paganetti, Joost Verburg, Drosoula Giantsoudi, Ge Wang   +6 more
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Body Image and Body Image Quality of Life in women with mastectomy. Comparison of women with immediate reconstruction, delayed reconstruction or without reconstruction

Psicooncologia, 2019
Aim: Analyze Body Image and its influence on Quality of Life in women who have undergone mastectomy as part of the treatment for breast cancer, with immediate reconstruction, delayed reconstruction or mastectomy without breast reconstruction. Method: The
Andrea Cecilia Gargantini Gargantini, Leandro Martín Casari   +1 more
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Research on Image Reconstruction of Compressed Sensing Based on a Multi-Feature Residual Network

Sensors, 2020
In order to solve the problem of how to quickly and accurately obtain crop images during crop growth monitoring, this paper proposes a deep compressed sensing image reconstruction method based on a multi-feature residual network.
Ruili Nan, Guiling Sun, Zhihong Wang, Xiangnan Ren   +3 more
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Guided Image Filtering Reconstruction Based on Total Variation and Prior Image for Limited-Angle CT

IEEE Access, 2020
For limited-angle computed tomography (CT) image reconstruction, the classical total variation (TV) based algorithms suffer from the limited-angle artifacts, because TV only used the gradient information of the image.
Zhaoqiang Shen, Changcheng Gong, Wei Yu, Li Zeng   +3 more
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Guided filter-based multi-scale super-resolution reconstruction

CAAI Transactions on Intelligence Technology, 2020
The learning-based super-resolution reconstruction method inputs a low-resolution image into a network, and learns a non-linear mapping relationship between low-resolution and high-resolution through the network.
Xiaomei Feng, Jinjiang Li, Zhen Hua, Zhen Hua   +3 more
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Improvement of depiction of the intracranial arteries on brain CT angiography using deep learning reconstruction

Journal of Integrative Neuroscience, 2021
To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative ...
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Seonkyu Kim, Jung Wook Seo, Hackjoon Shim, Dae Hyun Hwang   +5 more
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A Novel Blind Restoration and Reconstruction Approach for CT Images Based on Sparse Representation and Hierarchical Bayesian-MAP

Algorithms, 2019
Computed tomography (CT) image reconstruction and restoration are very important in medical image processing, and are associated together to be an inverse problem.
Yunshan Sun, Liyi Zhang, Yanqin Li, Juan Meng   +3 more
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Overview of Underwater 3D Reconstruction Technology Based on Optical Images

Journal of Marine Science and Engineering, 2023
At present, 3D reconstruction technology is being gradually applied to underwater scenes and has become a hot research direction that is vital to human ocean exploration and development.
Kai Hu, Tianyan Wang, Chaowen Shen, Chenghang Weng, Fenghua Zhou, Min Xia, Liguo Weng   +6 more
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