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CAS IR Grid
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自动化研究所 [4]
长春光学精密机械与物... [2]
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OAI收割 [6]
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期刊论文 [4]
会议论文 [2]
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2024 [1]
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Degradation regression with uncertainty for blind super-resolution
期刊论文
OAI收割
NEUROCOMPUTING, 2024, 卷号: 582, 页码: 14
作者:
Li, Shang
;
Zhang, Guixuan
;
Luo, Zhengxiong
;
Liu, Jie
;
Zeng, Zhi
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2024/07/03
Blind super-resolution
Degradation estimation
Uncertainty learning
End-to-End Alternating Optimization for Real-World Blind Super Resolution
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 18
作者:
Luo, Zhengxiong
;
Huang, Yan
;
Li, Shang
;
Wang, Liang
;
Tan, Tieniu
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/11/17
Blind super resolution
Degradation estimation
Alternating optimization
Restorer
Estimator
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:
Wang, Shaoru
;
Gao, Jin
;
Li, Bing
;
Hu, Weiming
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/11/14
Annotations
Noise measurement
Detectors
Task analysis
Training
Object detection
Degradation
Object detection
noisy label
Bayesian estimation
teacher-student learning
Baselines Extraction from Curved Document Images via Slope Fields Recovery
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 793-808
作者:
Meng, Gaofeng
;
Pan, Chunhong
;
Xiang, Shiming
;
Wu, Ying
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2020/06/02
Estimation
Image segmentation
Layout
Distortion
Strips
Image quality
Degradation
Document image processing
curved baselines extraction
slope fields recovery
geometric distortion rectification
Remote sensing image restoration using estimated point spread function (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010, Kunming, China
作者:
Yang L.
;
Yang L.
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2013/03/25
In order to reduce image blur caused by the degradation phenomenon in the imaging process
the acquired images of the space remote sensing camera are restored. First
the frequency-domain notch filter is adopted to remove strip noises in the images. Then degradation function
which is referred to as the point spread function (PSF) of the imaging system is estimated using the knife-edge method. To improve the accuracy of the estimation
the estimated PSF is adjusted with Gaussian fitting. Finally
the images are restored by Wiener filtering with the fitted PSF. The restoration results of the remote sensing images show that almost all strip noises are eliminated by the notch filter. After denoising and restoration
the variance of the remote sensing image worked with in this paper increases 30.979 and the gray mean gradient increases 3.312. Due to Gaussian fitting
the accuracy of the PSF estimation is heightened. Image restoration with the final PSF is benefit to interpreting and analyzing the remote sensing images. After restoration
the contrasts of the restored images are increased and the visual effects become clearer. 2010 IEEE.
Estimation algorithm of mobile OFDM CFOs based on step-size (EI CONFERENCE)
会议论文
OAI收割
2009 International Conference on Information Engineering and Computer Science, ICIECS 2009, December 19, 2009 - December 20, 2009, Wuhan, China
Lin L.
;
Qiao Y.-F.
;
Su W.-X.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
In order to maintain orthogonality among subcarriers for mobile OFDM
a CFOs step-size estimation model is established to avoid severe performance degradation caused by ICI
and algorithmic stability
step-size parameter
the error of CFOs estimate and etc are investigated. First
after an averaging window algorithm is introduced
the mathematic model of step-size estimation algorithm is obtained through step-size parameter and time-varying CFOs. Then
based on the results of MATLAB simulation
the determination of step-size parameter
the advantages of step-size algorithm and precision are discussed. Finally
time sequence plots of added CP
interleaver and subcarrier modulation with VHDL are presented. Experimental results indicate that the maximum of CFOs errors is 0.00987 in 3 variance interval
when mobile velocity is 400 km/h
according with verdicted principle that in order for the ICI effects to be negligible
the error of CFOs estimation must be accurate within 1-2% of the subcarrier spacing
and programs can correctly implement on circuit board. 2009 IEEE.