Browse/Search Results:  1-6 of 6 Help

Selected(0)Clear Items/Page:    Sort:
A new nonlocal TV-based variational model for SAR image despeckling based on the G(0) distribution 期刊论文
DIGITAL SIGNAL PROCESSING, 2017, 卷号: 68, 期号: 68, 页码: 44-56
Authors:  Nie, Xiangli;  Huang, Xiayuan;  Feng, Wensen
View  |  Adobe PDF(4217Kb)  |  Favorite  |  View/Download:82/28  |  Submit date:2017/12/30
Synthetic Aperture Radar (Sar)  Speckle Noise  g(0) Distribution  Nonlocal Total Variation (Nltv)  Primal-dual Algorithm  Mellin Transform (Mt)  
Image Deno sing via Multiscale Nonlinear Diffusion Models 期刊论文
SIAM JOURNAL ON IMAGING SCIENCES, 2017, 卷号: 10, 期号: 3, 页码: 1234-1257
Authors:  Feng, Wensen;  Qiao, Peng;  Xi, Xuanyang;  Chen, Yunjin
Favorite  |  View/Download:38/0  |  Submit date:2018/03/03
Image Denoising  Multiscale Pyramid Image Representation  Trainable Nonlinear Reaction Diffusion Model  Gaussian Denoising  Poisson Denoising  
A biologically inspired model mimicking the memory and two distinct pathways of face perception 期刊论文
NEUROCOMPUTING, 2016, 期号: 205, 页码: 349-359
Authors:  Xi, Xuanyang;  Yin, Peijie;  Qiao, Hong;  Li, Yinlin;  Feng, Wensen
View  |  Adobe PDF(1899Kb)  |  Favorite  |  View/Download:140/31  |  Submit date:2016/10/20
Biologically Inspired Model (Bim)  Face Perception  Memory  Component-based  
Poisson Noise Reduction with Higher-Order Natural Image Prior Model 期刊论文
SIAM JOURNAL ON IMAGING SCIENCES, 2016, 卷号: 9, 期号: 3, 页码: 1502-1524
Authors:  Feng, Wensen;  Qiao, Hong;  Chen, Yunjin
Favorite  |  View/Download:45/0  |  Submit date:2016/12/05
Poisson Denoising  Fields Of Experts  Anscombe Root Transformation  Nonconvex Optimization  
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
Favorite  |  View/Download:50/0  |  Submit date:2015/09/21
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  
A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2014, 卷号: 21, 期号: 11, 页码: 1370-1374
Authors:  Chen, Yunjin;  Feng, Wensen;  Ranftl, Rene;  Qiao, Hong;  Pock, Thomas
Favorite  |  View/Download:60/0  |  Submit date:2015/08/12
Despeckling  Fields Of Experts  Mrfs  Non-convex Optimization  Speckle Noise