×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
长春光学精密机械与... [22]
华南理工大学 [22]
北京大学 [18]
光电技术研究所 [16]
自动化研究所 [16]
西安光学精密机械研... [15]
更多...
内容类型
期刊论文 [127]
会议论文 [44]
学位论文 [14]
其他 [8]
会议 [7]
SCI/SSCI论文 [2]
更多...
发表日期
2022 [4]
2020 [5]
2019 [10]
2018 [17]
2017 [20]
2016 [12]
更多...
学科主题
电子、电信技术::信... [3]
电子、电信技术::计... [2]
912.2 Mana... [1]
Astronomy ... [1]
Astronomy ... [1]
Atmospheri... [1]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共204条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
发表日期升序
发表日期降序
提交时间升序
提交时间降序
题名升序
题名降序
作者升序
作者降序
An intelligent workflow for sub-nanoscale 3D reconstruction of intact synapses from serial section electron tomography
期刊论文
BMC BIOLOGY, 2023, 卷号: 21, 期号: 1, 页码: 14
作者:
Chang, Sheng
;
Li, Linlin
;
Hong, Bei
;
Liu, Jing
;
Xu, Yuxuan
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/11/16
Serial section electron tomography
3D EM
Semi-auto locating
Auto-alignment
Missing-information restoration
Semi-auto segmentation
Workflow
Synapse
Lucky imaging method based on wavelet analysis
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2022, 卷号: 516, 期号: 2, 页码: 2196-2203
作者:
Fan, Wending
;
Li, Binhua
;
Li, Junwu
;
Zhang XL(张西亮)
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/09/26
atmospheric effects
methods: data analysis
techniques: high angular resolution
techniques: image processing
Inverted N-Type Lightweight Network Based on Back Projection for Image Super-Resolution Reconstruction
期刊论文
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2022, 卷号: 34, 期号: 6, 页码: 923-932
作者:
Song, Zhaoyang
;
Zhao, Xiaoqiang
;
Hui, Yongyong
;
Jiang, Hongmei
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/07/20
Deep learning
Image reconstruction
Optical resolving power
Signal to noise ratio
Backprojections
Deep learning
Image super-resolution reconstruction
Inverted N-type network
Low resolution images
Network-based
Reconstruction algorithms
Resolution images
Super-resolution reconstruction
Superresolution
Cross-domain heterogeneous residual network for single image super-resolution
期刊论文
Neural Networks, 2022, 卷号: 149, 页码: 84-94
作者:
Ji, Li
;
Zhu, Qinghui
;
Zhang, Yongqin
;
Yin, Juanjuan
;
Wei, Ruyi
收藏
  |  
浏览/下载:88/0
  |  
提交时间:2022/03/29
Neural networks
Neural network architecture
Image restoration
Image resolution
Computational Imaging for Simultaneous Image Restoration and Super-Resolution Image Reconstruction of Single-Lens Diffractive Optical System
期刊论文
Applied Sciences-Basel, 2022, 卷号: 12, 期号: 9, 页码: 16
作者:
K. Liu
;
X. Yu
;
Y. S. Xu
;
Y. L. Xu
;
Y. Yao
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/06/14
Optical Remote Sensing Image Denoising and Super-Resolution Reconstructing Using Optimized Generative Network in Wavelet Transform Domain
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 9
作者:
Feng, Xubin
;
Zhang, Wuxia
;
Su, Xiuqin
;
Xu, Zhengpu
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2021/06/09
remote sensing
denoising
super-resolution
generative adversarial network (GAN)
residual network (ResNet)
densely connection network (DenseNet)
relativistic
wavelet transform (WT)
total variation (TV)
Single depth map super-resolution via a deep feedback network
期刊论文
International Journal of Wavelets, Multiresolution and Information Processing, 2021, 卷号: 19, 期号: 2
作者:
G. Wu
;
Y. Wang and S. Li
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2022/06/13
Two-stream deep sparse network for accurate and efficient image restoration
期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, 卷号: 200, 页码: 11
作者:
Wang, Shuhui
;
Hu, Ling
;
Li, Liang
;
Zhang, Weigang
;
Huang, Qingming
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2020/12/10
Two-stream sparse network
Image restoration
Image super-resolution
Image denoising
3D Imaging Restoration of Spinning-Disk Confocal Microscopy Via Deep Learning
期刊论文
IEEE Photonics Technology Letters, 2020, 卷号: 32, 期号: 18, 页码: 1131-1134
作者:
Bai, Chen
;
Yu, Xianghua
;
Peng, Tong
;
Liu, Chao
;
Min, Junwei
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2020/10/23
Convolutional neural networks
confocal microscopy
super-resolution radial fluctuations
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 3, 页码: 634-643
作者:
Liao, Haofu
;
Lin, Wei-An
;
Zhou, S. Kevin
;
Luo, Jiebo
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/12/10
Metals
Computed tomography
Decoding
Mars
X-ray imaging
Image reconstruction
Training
Image enhancement
restoration (noise and artifact reduction)
neural network
X-ray imaging
computed tomography
©版权所有 ©2017 CSpace - Powered by
CSpace