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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [5]
自动化研究所 [1]
沈阳自动化研究所 [1]
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OAI收割 [7]
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会议论文 [4]
期刊论文 [3]
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2024 [1]
2018 [1]
2015 [1]
2011 [1]
2010 [2]
2009 [1]
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Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2024, 卷号: 10, 页码: 196-207
作者:
Shang, Yaxin
;
Liu, Jie
;
Liu, Yanjun
;
Wang, Yueqi
;
Shen, Yusong
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/05/30
Feature extraction
Imaging
Image reconstruction
Image edge detection
Frequency-domain analysis
Image restoration
Transforms
Magnetic particle imaging
X-space
transformer
deblurring
shape-preserving
Improving the Imaging Performance of Plasmonic Structured Illumination Microscopy Using MAP Estimation Method
期刊论文
OAI收割
Guangzi Xuebao/Acta Photonica Sinica, 2018, 卷号: 47, 期号: 4
作者:
Yu, Mu-Xin
;
Zhou, Wen-Chao
;
Wu, Yi-Hui
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/09/17
Frequency estimation
Fluorescence
Fluorescence microscopy
Frequency domain analysis
Image reconstruction
Microscopic examination
Plasmonics
Restoration
Surface plasmons
Analysis of multi-agent-based adaptive droop-controlled AC microgrids with PSCAD: Modeling and simulation
期刊论文
OAI收割
Journal of Power Electronics, 2015, 卷号: 15, 期号: 2, 页码: 455-468
作者:
Li ZW(李忠文)
;
Zang CZ(臧传治)
;
Zeng P(曾鹏)
;
Yu HB(于海斌)
;
Li HP(李鹤鹏)
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2015/07/05
Distributed Generator (DG)
Droop control
Frequency restoration
Global information discovery
Microgrid, Multi-agent system
Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE)
会议论文
OAI收割
2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China
作者:
Yang L.
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2013/03/25
In the imaging process of the space remote sensing camera
there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation
the remote sensing images were restored to give prominence to the characteristic objects in the images. First
the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images
the point spread function of the imaging system was estimated. In order to improve the accuracy
the estimated point spread function was corrected with Gaussian fitting method. Finally
the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored
its variance and its gray mean gradient increased
also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration
the blur phenomenon of the images is reduced. The characters are highlighted
and the visual effect of the images is clearer. 2011 IEEE.
Design and image restoration research of a cubic-phase-plate system (EI CONFERENCE)
会议论文
OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, April 26, 2010 - April 29, 2010, Dalian, China
作者:
Zhang J.
;
Zhang J.
;
Zhang J.
;
Shi G.
;
Zhang X.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
Wave-front coding technology is a novel jointly optical and digital imaging technology which can greatly extend the depth of focus of optical systems. The image restoration process is an important part of wave-front coding technology. Using wave-front coding makes the modulation transfer function(MTF) values of the optical systems change little over a range of several times the depth of focus
which means the system MTF is quite insensitive to defocus
and there is no zero in the passband. So we can design a single filter for the restoration of images in different defocus positions. However
it's hard to avoid noise during image acquisition and transmission processes. These noises will be amplified in the image restoration
especially in the high frequency part when the MTF drop is relatively low. The restoration process significantly reduces the system signal to noise ratio this way. Aimed at the problem of noise amplification
a new algorithm was proposed which incorporated wavelet denoising into the iterative steps of Lucy-Richardson algorithm. Better restoration results were obtained through the new algorithm
effectively solving the noise amplification problem of original LR algorithm. Two sets of identical triplet imaging systems were designed
in one of which the cubic-phase-plate was added. Imaging experiments of the manufactured systems were carried
and the images of a traditional system and a wave-front coded system before and after decoding were compared. The results show that the designed wave-front coded system can extend the depth of focus by 40 times compared with the traditional system while maintaining the light flux and the image plane resolution. 2010 Copyright SPIE - The International Society for Optical Engineering.
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.
Real-time restoration for motion-blurred color images by multichannel combination processing (EI CONFERENCE)
会议论文
OAI收割
1st International Workshop on Education Technology and Computer Science, ETCS 2009, March 7, 2009 - March 8, 2009, Wuhan, Hubei, China
作者:
Sun H.
;
Sun H.
;
Li S.
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2013/03/25
A fast algorithm is proposed to restore the color images
degraded in a deterministic way by motion- blurred
by multichannel combination processing. Based on the color space conversion model
the point spread functions of the image motion on each plane of YUV422 image can be achieved. The U
V plane of YUV422 images are combined to form a new UV plane which has the same size as Y plane. Then
the Y
UV plane are packed into a two dimensional complex array which can be transformed directly by FFT and result a composite frequency spectrum. Wiener filter is applied to filter Y
UV spectrums separated from the composite spectra. On Graphics Processing Unit (GPU) platform
the proposed algorithm can restore a 1024x1024 24-bit motion-blurred color image in 7.95ms
and the PSNR of the restored image is 27.12 which reveals a good restoration performance. 2009 IEEE.