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Online Visual Inspection Method for Fuel Assemblies in Nuclear Power Plants 会议论文
SIXTH INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2018), 2018-01-01
作者:  Sheng, Ranran[1];  Zhang, Zhen[2]
收藏  |  浏览/下载：3/0  |  提交时间：2019/04/22
Improved Algorithm of Surface Charge Density Distribution and Electric Field Distribution on Insulating Materials 会议论文
作者:  Wang, Han;  Xue, Jian-Yi;  Wang, Yi-Bo;  Su, Guo-Qiang;  Deng, Jun-Bo
收藏  |  浏览/下载：2/0  |  提交时间：2019/11/26
DOA estimation based on reduced-rank multistage Wiener filter 会议论文
作者:  Zhang, Ming;  Lu, Rui;  Zhu, Shitao;  Zhang, Anxue
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26
Adaptive Scaled Wiener Postfilter Beamformer for ultrasound imaging 会议论文
作者:  Aliabadi, Saeid;  Wang, Yuanyuan;  Yu, Jinhua
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/06
Spectral restoration for hyperspectral images 会议论文
Conference on Remotely Sensed Data Compression, Communications, and Processing XII, Baltimore, MD, 2016-01-01
作者:  Tan, Zihui;  Jia, Guorui;  Zhao, Huijie
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30
Nonlinear Spline Adaptive Filtering under Maximum Correntropy Criterion 会议论文
作者:  Peng, Siyuan;  Wu, Zongze;  Zhang, Xie;  Chen, Badong
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02
A NOISE EVALUATION BASED WIENER DECONVOLUTION METHOD FOR CONTACT PARAMETERS MEASUREMENT USING ULTRASOUND 会议论文
作者:  Du, Fei;  Hong, Jun;  Li, Baotong;  Luo, Zeng;  Wang, Shaofeng
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/03
Research of denoising technology about wavelet analysis with wiener filter 会议论文
2013 2nd International Conference on Measurement, Instrumentation and Automation, ICMIA 2013, Guilin, China, April 23, 2013 - April 24, 2013
作者:  Hu, Yao Bin;  Hu, Liang Bin;  Cheng, Qiang
收藏  |  浏览/下载：6/0  |  提交时间：2019/12/27
A Two-step NMF Based Algorithm for Single Channel Speech Separation 会议论文
13TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2012 (INTERSPEECH 2012), VOLS 1-3, 2012-01-01
作者:  Wang, Shuo;  Wu, Wenjun
收藏  |  浏览/下载：4/0  |  提交时间：2020/01/06
Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文
2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China
Yang L.; Zhang X.; Ren J.
收藏  |  浏览/下载：29/0  |  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.  

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