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Image de-noising based on weight improved non-local means filtering algorithm
会议论文
2018 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE, 2018-01-01
作者:
Guo Chen-long
;
Tian Yu
;
Wang Wei
;
Zheng Haiyan
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Non-local mean filter
structural similarity measurement
image de-noise
Image de-noising based on weight improved non-local means filtering algorithm
会议论文
2018 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE, 2018-01-01
作者:
Guo Chen-long[1]
;
Tian Yu[2]
;
Wang Wei[3]
;
Zheng Haiyan[4]
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/04/22
Non-local mean filter
structural similarity measurement
image de-noise
An efficient adaptive algorithm for removal of impulse noises
会议论文
Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
作者:
Wang, S.
;
Yue, T.
;
Lang, B.
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Adaptive algorithms
Adaptive filtering
Biomedical engineering
Image processing
Nonlinear filtering
Average filter
Corrupted images
De-noising algorithm
Decision based filter
impluse noise
Original signal
Salt-Pepper noise
State of the art
Impulse noise
Removing Random-Valued Impulse Noises by a Two-Staged Nonlinear Filtering Method
期刊论文
Transactions of Nanjing University of Aeronautics and Astronautics, 2016, 卷号: 33, 期号: 3, 页码: 329-338
作者:
Ahmad Ashfaq
;
Lu Yanting
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2017/01/17
image de-noising
random-valued impulse noise
nonlinear filter
noisy pixel detection
two-stage detection and correction method
directional differences
An improved median filter for removing extensive salt and pepper noise
会议论文
International Conference on Mechatronics and Control, ICMC 2014, Jinzhou, China, July 3, 2014 - July 5, 2014
作者:
Wei, Yanyan
;
Yan, Shi
;
Yang, Ling
;
Fu, Yanping
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/01/18
Image denoising
Algorithms
Color
Image processing
Image reconstruction
Median filters
Noise abatement
Pixels
Restoration
Signal processing
Switches
Color image de-noising
Median filtering algorithm
Noise
Noise measurements
Quantitative measures
Restoration of images
Salt-and-pepper noise
Signal processing algorithms
Insulator Image Denoising Based on the Simplified PCNN Model
期刊论文
Advanced Materials Research, 2013, 卷号: Vol.718-720, 页码: 2092-2098
作者:
Dan Li
;
Hong Ying He
;
Yi Jia Cao
;
Dian Sheng Luo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/01/05
Image De-Noising
Insulator
PCNN
Pulse Noise
A complete passive blind image copy-move forensics scheme based on compound statistics features.
期刊论文
Forensic science international, 2011, 卷号: Vol.212 No.1-3, 页码: e21-e25
作者:
Peng, F
;
Nie, YY
;
Long, M
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/01/05
Digital image forensics
Sensor pattern noise
Wavelet transform based de-noise
Tampering location
Wavelet image denoising by threshold optimization based on genetic algorithm
会议论文
Hangzhou, China, March 9, 2011 - March 11, 2011
作者:
Zhao, Shuang-Ping
;
Li, Xiang-Wei
;
Xing, Jing-Hong
;
Ye, Yan-Wen
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/11/15
Computer applications
Genetic algorithms
Image processing
Noise pollution control
Optimization
De-noising
Image de-noising
Inverse transition
Optimal images
Optimal threshold
Original signal
Threshold
Threshold methods
Wavelet image
Wavelet transition
Quality improving method for Schlieren visualization using wavelet analysis
会议论文
ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 7th International Symposium on Test Measurement, Beijing, PEOPLES R CHINA, Web of Science
Zhang Mingzhao
;
Wang Boxiong
;
Luo Xiuzhi
;
Ma Ling
;
Zhu Xiaohua
;
Ji Lingli
收藏
  |  
浏览/下载:3/0
交叉皮层模型及其在图像处理中的应用
期刊论文
北京邮电大学学报, 2009, 卷号: 32, 期号: 4, 页码: 40-45
作者:
绽琨
;
张红娟
;
马义德
;
刘丽
;
田乐
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2016/07/15
交叉皮层模型
图像处理
分割
特征提取
平滑
Automatic image segmentation
De-Noise
Edge extraction
Firing time
Image smoothing
Internal activity
Intersecting cortical model
Intersecting cortical models
Main characteristics
Mathematical descriptions
Performance parameters
Segmentation
Smoothing
Variable thresholds
Working principles
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