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Synthetic aperture radar image despeckling via total generalised variation approach 期刊论文
IET IMAGE PROCESSING, 2015, 卷号: 9, 期号: 3, 页码: 236-248
Authors:  Feng, Wensen;  Lei, Hong;  Qiao, Hong
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Synthetic Aperture Radar  Radar Imaging  Image Denoising  Speckle  Variational Techniques  Piecewise Constant Techniques  Smoothing Methods  Higher Order Statistics  Optimisation  Monte Carlo Methods  Synthetic Aperture Radar Image Despeckling  Total Generalised Variation Approach  Speckle Reduction  Total Variation Regularisation  Piecewise Constant Image  Smooth Transition  Tgv-based Model  Staircasing Artefact Reduction  Higher Order Smoothness  Numerical Scheme  Nesterov Algorithm  Tgv-based Optimisation Problem  Monte Carlo Method  
Bioluminescence tomography based on Bayesian approach 会议论文
Progress in Biomedical Optics and Imaging - SPIE, United States San Diego, 2009
Authors:  Feng, Jinchao;  Jia, Kebin;  Tian, Jie;  Yan, Guorui;  Qin, Chenghu
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Bioluminescence Tomography  Bayesian Approach  Generalized Adaptive Gaussian Markov Random Field  Light Source Reconstruction  Diffusion Approximation  Adaptive Finite Element Method  Monte Carlo Methods  
Recent development in bioluminescence tomography 期刊论文
CURRENT MEDICAL IMAGING REVIEWS, 2006, 卷号: 2, 期号: 4, 页码: 453-457
Authors:  Wang, Ge;  Qian, Xin;  Cong, Wenxiang;  Shen, Haiou;  Li, Yi;  Han, Weimin;  Durairaj, Kumar;  Jiang, Ming;  Zhou, Tie;  Cheng, Jiantao;  Tian, Jie;  Lv, Yujie;  Li, Hui;  Luo, Jie
Adobe PDF(133Kb)  |  Favorite  |  View/Download:78/21  |  Submit date:2015/11/06
Bioluminescence Imaging  Bioluminescence Tomography  Finite Element Method  Monte Carlo Approach  Molecular Optical Simulation Environment  Multi-spectral Signal Separation  
图像修复快速算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院研究生院, 2005
Authors:  顾建平
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图像修复  水平线  蒙特卡罗  多尺度  Inpainting  Level Line  Monte Carlo  Multi-scale Approach