Xiangchu Feng

发表

A Probabilistic Collaborative Representation Based Approach for Pattern Classification

Lei Zhang, Xiangchu Feng, Wangmeng Zuo, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Sparse representation or collaborative representation: Which helps face recognition?

Lei Zhang, Xiangchu Feng, Meng Yang, 2011, 2011 International Conference on Computer Vision.

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising

David Zhang, Lei Zhang, Xiangchu Feng, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Image decomposition using optimally sparse representations and a variational approach

Xiangchu Feng, Haiqing Yin, Lingling Jiang, 2007, Signal Image Video Process..

Variational Image Restoration and Decomposition with Curvelet Shrinkage

Xiangchu Feng, Haiqing Yin, Lingling Jiang, 2008, Journal of Mathematical Imaging and Vision.

Plug-and-Play Based Optimization Algorithm for New Crime Density Estimation

Xiangchu Feng, Silong Peng, Xiyuan Hu, 2019, Journal of Computer Science and Technology.

Image decomposition and staircase effect reduction based on total generalized variation

Xiangchu Feng, Jianlou Xu, Y. Hao, 2014 .

A Cartoon-Texture Decomposition Based Multiplicative Noise Removal Method

Xiangchu Feng, Chen-ping Zhao, Weiwei Wang, 2016 .

Image Denoising Using Generalized Anisotropic Diffusion

Jian Bai, Xiangchu Feng, Xiangchu Feng, 2018, Journal of Mathematical Imaging and Vision.

LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform

Xiangchu Feng, Lei Zhang, Lida Li, 2020, ECCV.

Two-direction nonlocal model for image interpolation

Xiangchu Feng, Weiwei Wang, Xuande Zhang, 2013 .

Structured Sparse Subspace Clustering with Grouping-Effect-Within-Cluster

Xiangchu Feng, 2018 .

Simultaneous cartoon and texture for nonconvex image inpainting via the balanced approach

Xiangchu Feng, Yulian Wu, Liang Luo, 2013, 2013 International Conference on Wavelet Analysis and Pattern Recognition.

Image Segmentation by Active Contour Model with a New Data Fidelity

Xiangchu Feng, Amir Razi, Wei-wei Wang, 2017, 2017 International Conference on Machine Vision and Information Technology (CMVIT).

-method-noise regularization for image deblurring

Xiangchu Feng, Xin Liu, Weiwei Wang, 2018 .

Hybrid gradient-domain image denoising

Xiangchu Feng, Xiaobo Zhang, Xiangchu Feng, 2014 .

An image denoising method based on Markov-Chain Monte Carlo sampling with alterable direction and low rank approximation

Xiangchu Feng, Liang Luo, Xiaoping Li, 2013, 2013 International Conference on Wavelet Analysis and Pattern Recognition.

Iteratively Reweighted Anisotropic-TV Based Multiplicative Noise Removal Model: Iteratively Reweighted Anisotropic-TV Based Multiplicative Noise Removal Model

Xiang-Chu Feng, Xiangchu Feng, Xudong Wang, 2012 .

Image decomposition using nonconvex functional

Xiangchu Feng, Jian Bai, 2011, 2011 4th International Congress on Image and Signal Processing.

Sparse Recovery by Semi-Iterative Hard Thresholding Algorithm

Xiangchu Feng, Mingli Jing, Xueqin Zhou, 2013 .

An active contour method using harmonic mean

Xiang-Chu Feng, Wei-Wei Wang, Xiangchu Feng, 2016, 2016 IEEE International Conference on Signal and Image Processing (ICSIP).

Integral Equation-Wavelet Collocation Method for Geometric Transformation and Application to Image Processing

Xiangchu Feng, Lina Yang, Y. Tang, 2014 .

Xiangchu Feng, Weiwei Wang, Xuande Zhang, 2013 .

Side-information-induced reweighted sparse subspace clustering

Xiangchu Feng, Weiwei Wang, Chengwu Lu, 2021, Journal of Industrial & Management Optimization.

Relationship of d-dimensional continuous multi-scale wavelet shrinkage with integro-differential equations

Xiangchu Feng, Guojun Liu, Min Li, 2009 .

A new multiplicative noise removal model combining cartoon-texture decomposition method

Xiangchu Feng, Chen-ping Zhao, Zhao-Wei Ouyang, 2016, 2016 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR).

PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation

Xiangchu Feng, Xuande Zhang, Xixi Jia, 2022, Inf. Sci..

Texture preserving Perona-Malik model

Xiangchu Feng, Xiaobo Zhang, 2011, 2011 4th International Congress on Image and Signal Processing.

Cartoon-Texture decomposition with patch-wise decorrelation

Xiangchu Feng, Weiwei Wang, Xiaofang Li, 2022, J. Vis. Commun. Image Represent..

Image denoising using local adaptive layered Wiener filter in the gradient domain

Xiangchu Feng, Xiaobo Zhang, 2015, Multimedia Tools and Applications.

Accelerated Landweber Iterative Thresholding Algorithm in Wavelet Domain for Image Restoration: Accelerated Landweber Iterative Thresholding Algorithm in Wavelet Domain for Image Restoration

Wei-bin Zhang, Xiangchu Feng, Wei-Wei Wang, 2011 .

A novel global method for edge extraction under Poisson noise: game theory

Xiangchu Feng, Wenyan Wei, 2022, 2022 7th International Conference on Communication, Image and Signal Processing (CCISP).

Image decomposition using adaptive second-order total generalized variation

Xiangchu Feng, Jianlou Xu, Y. Hao, 2012, Signal, Image and Video Processing.

Perceptual Fidelity Aware Mean Squared Error

Lei Zhang, Xuanqin Mou, Xiangchu Feng, 2013, 2013 IEEE International Conference on Computer Vision.

Edge Strength Similarity for Image Quality Assessment

Xiangchu Feng, Wufeng Xue, Weiwei Wang, 2013, IEEE Signal Processing Letters.

Support Vector Guided Dictionary Learning

Lei Zhang, Ping Wang, Xiangchu Feng, 2014, ECCV.

Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification

David Zhang, Lei Zhang, Xiangchu Feng, 2014, International Journal of Computer Vision.

Collaborative Representation based Classification for Face Recognition pdf

David Zhang, Lei Zhang, Xiangchu Feng, 2012, ArXiv.

A further study on the inequality constraints in stochastic configuration networks

Ruiqiang He, Xiangchu Feng, Xiaolong Zhu, 2019, Inf. Sci..

Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery

Xiangchu Feng, Lei Zhang, Xixi Jia, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Classification-Friendly Sparse Encoder and Classifier Learning

Xiangchu Feng, Weiwei Wang, Shuisheng Zhou, 2020, IEEE Access.

Group Discriminative Least Square Regression

Xiangchu Feng, Chunyu Yang, Weiwei Wang, 2019, ISICDM.

Online Schatten quasi-norm minimization for robust principal component analysis

Xiangchu Feng, Chen Xu, Weiwei Wang, 2019, Inf. Sci..

Unified Discriminative and Coherent Semi-Supervised Subspace Clustering

Xiangchu Feng, Weiwei Wang, Chunyu Yang, 2018, IEEE Transactions on Image Processing.

Subspace Clustering with Sparsity and Grouping Effect

Xiangchu Feng, Weiwei Wang, Xiangchu Feng, 2017 .

Subspace clustering by weighted correlation adaptive regression

Xiangchu Feng, Weiwei Wang, Hua Huang, 2016, 2016 International Conference on Machine Learning and Cybernetics (ICMLC).

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

Lei Zhang, Qi Xie, Deyu Meng, 2016, International Journal of Computer Vision.

Weighted Nuclear Norm Minimization with Application to Image Denoising

Lei Zhang, Xiangchu Feng, Wangmeng Zuo, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Fisher Discrimination Dictionary Learning for sparse representation

David Zhang, Lei Zhang, Xiangchu Feng, 2011, 2011 International Conference on Computer Vision.

Discriminative and coherent subspace clustering

Ruiqiang He, Xiangchu Feng, Weiwei Wang, 2018, Neurocomputing.

Projective dictionary pair learning for pattern classification

Lei Zhang, Xiangchu Feng, Wangmeng Zuo, 2014, NIPS.

Change Field: A New Change Measure for VHR Images

Chunhong Pan, Xiangchu Feng, Chunlei Huo, 2014, IEEE Geoscience and Remote Sensing Letters.

Domain-Aware Adaptive Logarithmic Transformation

Xiangchu Feng, Xuelai Fang, 2023, Electronics.

Global sparse gradient guided variational Retinex model for image enhancement

Rui Zhang, Xiangchu Feng, Chen Xu, 2017, Signal Process. Image Commun..

Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features

Lei Zhang, Xuanqin Mou, Xiangchu Feng, 2014, IEEE Transactions on Image Processing.

Models for Multiplicative Noise Removal

Xiangchu Feng, Xiaolong Zhu, Xiangchu Feng, 2021 .

Image decomposition and denoising using fractional-order partial differential equations

Jian Bai, Xiang-Chu Feng, Xiangchu Feng, 2020, IET Image Process..

W-LDMM: A Wasserstein driven low-dimensional manifold model for noisy image restoration

Ruiqiang He, Xiangchu Feng, Xiaolong Zhu, 2020, Neurocomputing.

RWRM: Residual Wasserstein regularization model for image restoration

Ruiqiang He, Xiangchu Feng, Xiaolong Zhu, 2020, Inverse Problems & Imaging.

A global sparse gradient based coupled system for image denoising

Xiaolong Zhu, Rui Zhang, Lixia Yang, 2019, Comput. Math. Appl..

FOCNet: A Fractional Optimal Control Network for Image Denoising

Xiangchu Feng, Sanyang Liu, Lei Zhang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A stochastic image denoising method based on adaptive patch-size

Xiangchu Feng, Xiaoping Li, Liang Luo, 2019, Multidimens. Syst. Signal Process..

Weighted-l1-method-noise regularization for image deblurring

Xin Liu, Xiangchu Feng, Weiwei Wang, 2019, Signal Process..

Single Image Dehazing Method Based on Cartoon-Texture Decomposition

Xiangchu Feng, Bingzhe Wei, Shuai Ma, 2018, CSAE '18.

Image Denoising Using Generalized Anisotropic Diffusion

Xiangchu Feng, Jian Bai, 2018, Journal of Mathematical Imaging and Vision.

Image Regularity and Fidelity Measure with a Two-Modality Potential Function

Xiangchu Feng, Weiwei Wang, Amir Razi, 2017 .

A fusion estimation method based on fractional Fourier transform

Rui Zhang, Xiaoping Li, Xiangchu Feng, 2016, Digit. Signal Process..

A multiscale image segmentation method

Xiangchu Feng, Yafeng Li, Xiangchu Feng, 2016, Pattern Recognit..

Multiplicative noise removal using primal–dual and reweighted alternating minimization

Xiangchu Feng, Leigang Huo, Yingzhou Bi, 2016, SpringerPlus.

Image Denoising via Asymptotic Nonlocal Filtering

Xiangchu Feng, Xiangchu Feng, Xuande Zhang, 2015 .

Multiplicative noise removal combining a total variation regularizer and a nonconvex regularizer

Xiangchu Feng, Yu Han, Chen Xu, 2014, Int. J. Comput. Math..

Image decomposition using adaptive second-order total generalized variation

Xiangchu Feng, Yu Han, Yan Hao, 2014, Signal Image Video Process..

A coupled variational model for image denoising using a duality strategy and split Bregman

Xiangchu Feng, Yan Hao, Jianlou Xu, 2014, Multidimens. Syst. Signal Process..

Image denoising via 2D dictionary learning and adaptive hard thresholding

Xiangchu Feng, Weiwei Wang, Xuande Zhang, 2013, Pattern Recognit. Lett..

Iterative reweighted total generalized variation based Poisson noise removal model

Xiangchu Feng, Weiwei Wang, Wen-Juan Zhang, 2013, Appl. Math. Comput..

Learning smooth dictionary for image denoising

Shiming Xiang, Chunhong Pan, Xiangchu Feng, 2013, 2013 Ninth International Conference on Natural Computation (ICNC).

Two Curvelets variational Models Depend on Decomposition Spaces

Xiangchu Feng, Weiwei Wang, Xuande Zhang, 2013, Int. J. Wavelets Multiresolution Inf. Process..

Nonconvex sparse regularizer based speckle noise removal

George Baciu, Yu Han, Wei-Wei Wang, 2013, Pattern Recognit..

Fractional-Order Anisotropic Diffusion for Image Denoising

Jian Bai, Xiangchu Feng, Xiangchu Feng, 2007, IEEE Transactions on Image Processing.

Convolutional Sparse Coding for Image Super-Resolution

Lei Zhang, Qi Xie, Deyu Meng, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Variational Models for Fusion and Denoising of Multifocus Images

Xiangchu Feng, Weiwei Wang, Penglang Shui, 2008, IEEE Signal Processing Letters.

Dual non-autonomous deep convolutional neural network for image denoising

Xiangchu Feng, Sanyang Liu, Xixi Jia, 2021, Inf. Sci..

Anisotropic Diffusion Based Multiplicative Speckle Noise Removal

Mei Gao, Wenjuan Zhang, Wei Zhang, 2019, Sensors.

Multiplicative noise removal via sparse and redundant representations over learned dictionaries and total variation

Xiangchu Feng, Yan Hao, Jianlou Xu, 2012, Signal Process..

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising

David Zhang, Lei Zhang, Xiangchu Feng, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Optimization of the Regularization in Background and Foreground Modeling

Xiangchu Feng, Si-Qi Wang, Xiangchu Feng, 2014, J. Appl. Math..

Combination of FFST and SR: A New Multi-Focus Image Fusion Strategy

Ruiqiang He, Bingzhe Wei, Weiwei Wang, 2019, ICCPR.

Weighted Nuclear Norms of Transformed Tensors for Nonlocal Hyperspectral Image Denoising

Xiangchu Feng, Rui Zhang, Guojun Liu, 2022, IEEE Geoscience and Remote Sensing Letters.

Group discriminative least square regression for multicategory classification

Ruiqiang He, Xiangchu Feng, Weiwei Wang, 2020, Neurocomputing.

Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning

Lei Zhang, Xiangchu Feng, Liang Lin, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image decomposition fusion method based on sparse representation and neural network.

Xiangchu Feng, Chen Xu, Hua Huang, 2017, Applied optics.

A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding

David Zhang, Lei Zhang, Deyu Meng, 2013, 2013 IEEE International Conference on Computer Vision.

Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation

Xiangchu Feng, Xue-Cheng Tai, Jing Yuan, 2017, SSVM.

A new fast multiphase image segmentation algorithm based on nonconvex regularizer

Xiangchu Feng, Yu Han, Weiwei Wang, 2012, Pattern Recognit..

Learning Deep Dictionary for Hyperspectral Image Denoising

Chunhong Pan, Xiangchu Feng, Chunlei Huo, 2015, IEICE Trans. Inf. Syst..

Anisotropic Diffusion with Nonlinear Structure Tensor

Xiangchu Feng, Weiwei Wang, Xiangchu Feng, 2008, Multiscale Model. Simul..

Wavelet iterative regularization for image restoration with varying scale parameter

Xiangchu Feng, Min Li, Binbin Hao, 2008, Signal Process. Image Commun..

A new variational method for selective segmentation of medical images

Xiangchu Feng, Yu Han, Weiwei Wang, 2022, Signal Process..

Application of Fisher information to CMOS noise estimation

Xiangchu Feng, Mingying Pan, 2023, AIMS Mathematics.

A variational image segmentation method exploring both intensity means and texture patterns

Qijun Zhao, Xiangchu Feng, Weiwei Wang, 2019, Signal Process. Image Commun..

Variational and PCA based natural image segmentation

Xiangchu Feng, Yu Han, George Baciu, 2013, Pattern Recognit..

Fuzzy region competition-based auto-color-theme design for textile images

Xiangchu Feng, Yu Han, Dejun Zheng, 2013 .

A novel image segmentation model with an edge weighting function

Xiangchu Feng, Yu Han, Wen-Juan Zhang, 2014, Signal Image Video Process..

Hybrid Probabilistic Sparse Coding With Spatial Neighbor Tensor for Hyperspectral Imagery Classification

Shuyuan Yang, Xiangchu Feng, Licheng Jiao, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Plug-and-Play Based Optimization Algorithm for New Crime Density Estimation

Xiangchu Feng, Chen-ping Zhao, Xiyuan Hu, 2019, Journal of Computer Science and Technology.

Adaptive variational models for image decomposition

Xiangchu Feng, Jianlou Xu, Y. Hao, 2014, Science China Information Sciences.

A characterization of the inverse Radon transform associated with the classical domain of type one

Xiangchu Feng, Jianxun He, Yafeng Li, 2009 .

Image Denoising Using Low-Rank Dictionary and Sparse Representation

Tao Li, Long Xu, Xiangchu Feng, 2014, 2014 Tenth International Conference on Computational Intelligence and Security.

Low Dimensional Manifold Regularization Based Blind Image Inpainting and Non-Uniform Impulse Noise Recovery

Xiangchu Feng, Baosheng Kang, Wenjuan Zhang, 2020, IEEE Access.

A class of bilinear matrix constraint optimization problem and its applications

Xiangchu Feng, Wenjuan Zhang, Feng Xiao, 2021, Knowl. Based Syst..

A Self-Representation Induced Classifier

Qinghua Hu, Lei Zhang, Xiangchu Feng, 2016, IJCAI.

Deep RED Unfolding Network for Image Restoration

Xiangchu Feng, Shengjiang Kong, Weiwei Wang, 2021, IEEE Transactions on Image Processing.

Adaptive regularizer learning for low rank approximation with application to image denoising

Xiangchu Feng, Weiwei Wang, Xixi Jia, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Speckle Noise Reduction via Nonconvex High Total Variation Approach

Xiangchu Feng, Yulian Wu, Xiangchu Feng, 2015 .

"Low-rank + dual" model based dimensionality reduction

Xiangchu Feng, Weiwei Wang, Si-Qi Wang, 2016, Neurocomputing.

Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features

A. Bovik, Wufeng Xue, Lei Zhang, 2014, IEEE Transactions on Image Processing.

A semi-supervised trace lasso norm regularized image classification method

Wenjuan Zhang, Xiangchu Feng, Xiangchu Feng, 2020, International Conference on Digital Image Processing.

A Manifold Laplacian Regularized Semi-Supervised Sparse Image Classification Method With a Variant Trace Lasso Norm

Yunmei Chen, Xiangchu Feng, Wenjuan Zhang, 2020, IEEE Access.

The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation

Xiangchu Feng, Bingzhe Wei, Kun Wang, 2021, Entropy.

An extended variational image decomposition model for color image enhancement

Lei Zhang, Xiangchu Feng, Weiwei Wang, 2018, Neurocomputing.

Game theory based Bi-domanial deep subspace clustering

Xiangchu Feng, Weiwei Wang, Tingting Qi, 2022, Inf. Sci..

Accelerated Chambolle Projection Algorithms for Image Restoration

Xiangchu Feng, Wenyan Wei, 2022, Electronics.

Local joint entropy based non-rigid multimodality image registration

Xiangchu Feng, Yu Han, George Baciu, 2013, Pattern Recognit. Lett..

3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion

Xiangchu Feng, Bingzhe Wei, Weiwei Wang, 2021, IEEE Access.

Bayesian inference for adaptive low rank and sparse matrix estimation

Lei Zhang, Xiangchu Feng, Chen Xu, 2018, Neurocomputing.