Xiangchu Feng

发表

RWRM: Residual Wasserstein regularization model for image restoration

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

Multiple-step local Wiener filter with proper stopping in wavelet domain

Xiaobo Zhang, Xiangchu Feng, 2014, J. Vis. Commun. Image Represent..

Learning Deep Dictionary for Hyperspectral Image Denoising

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

An extended variational image decomposition model for color image enhancement

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

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

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

Digital ridgelet reconstruction based on local dual frame

Jian Bai, Xiangchu Feng, 2007, Science in China Series F: Information Sciences.

A novel image segmentation model with an edge weighting function

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

Group Discriminative Least Square Regression

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

Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification

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

Image Denoising Using Generalized Anisotropic Diffusion

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

A New Watermarking Method Based on DWT

Xiangchu Feng, Yongdong Yang, 2005, CIS.

Root-transformation based multiplicative denoising model and its statistical analysis

Ruiqiang He, Xiangchu Feng, Chen Xu, 2018, Neurocomputing.

Anisotropic Diffusion with Nonlinear Structure Tensor

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

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).

Weighted-l1-method-noise regularization for image deblurring

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

A new fast multiphase image segmentation algorithm based on nonconvex regularizer

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

Classification-Friendly Sparse Encoder and Classifier Learning

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

Optimization of the Regularization in Background and Foreground Modeling

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

Subspace clustering by weighted correlation adaptive regression

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

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).

HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration

Ruiqiang He, Xiangchu Feng, Xiaolong Zhu, 2018, J. Vis. Commun. Image Represent..

Multiple wavelet basis image denoising by Wiener filter and projective method

Xiaobo Zhang, Xiangchu Feng, 2011, 2011 International Conference on Multimedia Technology.

Learning smooth dictionary for image denoising

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

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.

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.

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

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

A Self-Representation Induced Classifier

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

Multiplicative noise removal via adaptive kernel regression and total variation: Multiplicative noise removal via adaptive kernel regression and total variation

Xiangchu Feng, Yulian Wu, 2013 .

Task driven saliency detection for image retargeting

Xiangchu Feng, Weiwei Wang, Xixi Jia, 2016 .

A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding

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

Subspace Clustering by Relaxed Block Diagonal Representation

Xiangchu Feng, Qian Wang, Weiwei Wang, 2019, ISICDM 2019.

Group discriminative least square regression for multicategory classification

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

Subspace Segmentation by Correlation Adaptive Regression

Xiangchu Feng, Binbin Zhang, Weiwei Wang, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

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.

Variational and PCA based natural image segmentation

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

Support Vector Guided Dictionary Learning

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

Wavelet iterative regularization for image restoration with varying scale parameter

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

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).

On the Optimal Solution of Weighted Nuclear Norm Minimization pdf

Lei Zhang, Qi Xie, Deyu Meng, 2014, ArXiv.

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.

Unified Discriminative and Coherent Semi-Supervised Subspace Clustering

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

Image decomposition via learning the morphological diversity

Xiangchu Feng, Yafeng Li, 2012, Pattern Recognit. Lett..

Projective dictionary pair learning for pattern classification

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

Variational Image Restoration and Decomposition with Curvelet Shrinkage

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

Structured Sparse Subspace Clustering with Within-Cluster Grouping

Xiangchu Feng, Weiwei Wang, Huazhu Chen, 2018, Pattern Recognit..

Variational Models for Fusion and Denoising of Multifocus Images

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

Bayesian inference for adaptive low rank and sparse matrix estimation

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

Image denoising via bidirectional low rank representation with cluster adaptive dictionary

Xiaoping Li, Xiangchu Feng, Xiaoyan Liu, 2016, IET Image Process..

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

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

Two Curvelets variational Models Depend on Decomposition Spaces

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

Multiplicative noise removal using primal–dual and reweighted alternating minimization

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

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

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

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).

Image denoising via 2D dictionary learning and adaptive hard thresholding

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

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).

Coupled dictionary learning method for image decomposition

Xiangchu Feng, Yafeng Li, 2011, Science China Information Sciences.

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.

Salient edge and region aware image retargeting

Xiangchu Feng, Weiwei Wang, Tao Li, 2014, Signal Process. Image Commun..

Change Field: A New Change Measure for VHR Images

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

Adaptive variational models for image decomposition

Xiangchu Feng, Yu Han, Yan Hao, 2012, Science China Information Sciences.

Fisher Discrimination Dictionary Learning for sparse representation

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

Structure and Texture Image Inpainting Using Sparse Representations and an Iterative Curvelet Thresholding Approach

Xiangchu Feng, Haiqing Yin, Lingling Jiang, 2008, Int. J. Wavelets Multiresolution Inf. Process..

Ridgelets Frame

Xiangchu Feng, Licheng Jiao, Tan Shan, 2004, ICIAR.

Image decomposition using optimally sparse representations and a variational approach

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

Online Schatten quasi-norm minimization for robust principal component analysis

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

Sparse representation or collaborative representation: Which helps face recognition?

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

Image decomposition using adaptive second-order total generalized variation

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

Edge Strength Similarity for Image Quality Assessment

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

A new gradient-based nonlinear diffusion method applied to image denoising

Xiaobo Zhang, Xiangchu Feng, 2014, 2014 IEEE International Conference on Progress in Informatics and Computing.

Single Image Dehazing Method Based on Cartoon-Texture Decomposition

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

A further study on the inequality constraints in stochastic configuration networks

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

Rank constrained nuclear norm minimization with application to image denoising

Xiangchu Feng, Weiwei Wang, Xixi Jia, 2016, Signal Process..

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

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

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

Xiangchu Feng, Yu Han, Dejun Zheng, 2013 .

Event-triggered Consensus for Second-order Multi-agent Systems via Asynchronous Periodic Sampling Control Approach

Xiangchu Feng, Fei Gao, Jing Li, 2020 .

Fractional-Order Anisotropic Diffusion for Image Denoising

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

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

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

Non-Local Means Denoising Algorithm Based on the Kernelized L2-Norm

Xiaoping Li, Xiangchu Feng, Xiaoyan Liu, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

A fusion estimation method based on fractional Fourier transform

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

Variational Decomposition Model in Besov Spaces and Negative Hilbert-Sobolev Spaces

Xiangchu Feng, Min Li, 2006, CIS.

Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation

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

Convolutional Sparse Coding for Image Super-Resolution

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

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.

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

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

A stochastic image denoising method based on adaptive patch-size

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

CT and MRI image fusion based on multiscale decomposition method and hybrid approach

Rui Zhang, Ruiqiang He, Xiangchu Feng, 2019, IET Image Process..

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

Xiangchu Feng, Weiwei Wang, Amir Razi, 2017 .

Image Restoration Based on Adaptive Dual-Domain Filtering

Ruiqiang He, Xiangchu Feng, Xiaolong Zhu, 2018 .

"Low-rank + dual" model based dimensionality reduction

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

A divide-and-conquer stochastic alterable direction image denoising method

Xiangchu Feng, Liang Luo, Weiwei Wang, 2015, Signal Process..

Discriminative and coherent subspace clustering

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

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

Xiaobo Zhang, Xiangchu Feng, 2014, Multimedia Tools and Applications.

Local joint entropy based non-rigid multimodality image registration

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

Perceptual Fidelity Aware Mean Squared Error

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

Global sparse gradient guided variational Retinex model for image enhancement

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

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

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

A multiscale image segmentation method

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

Iterative reweighted total generalized variation based Poisson noise removal model

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

Collaborative Representation based Classification for Face Recognition pdf

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

Models for Multiplicative Noise Removal

Xiangchu Feng, Xiaolong Zhu, Xiangchu Feng, 2021 .

Joint image restoration and edge detection in cooperative game formulation

Xiangchu Feng, Chunyu Yang, Weiwei Wang, 2022, Signal Process..

Dual non-autonomous deep convolutional neural network for image denoising

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

A Folded Concave Penalty Regularized Subspace Clustering Method to Integrate Affinity and Clustering

Xiangchu Feng, Wenjuan Zhang, Feng Xiao, 2021 .

Deep RED Unfolding Network for Image Restoration

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

A new variational method for selective segmentation of medical images

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

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

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

A class of bilinear matrix constraint optimization problem and its applications

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

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

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

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.

Subspace Clustering with Sparsity and Grouping Effect

Xiangchu Feng, Weiwei Wang, Xiangchu Feng, 2017 .

Hybrid gradient-domain image denoising

Xiangchu Feng, Xiaobo Zhang, Xiangchu Feng, 2014 .

Image Denoising via Asymptotic Nonlocal Filtering

Xiangchu Feng, Xiangchu Feng, Xuande Zhang, 2015 .

Supplementary Material to “ Convolutional Sparse Coding for Image Super-resolution ”

Deyu Meng, Xiangchu Feng, Wangmeng Zuo, 2015 .

Speckle Noise Reduction via Nonconvex High Total Variation Approach

Xiangchu Feng, Yulian Wu, Xiangchu Feng, 2015 .

Image restoration using total variation and anisotropic diffusion equation

Xiangchu Feng, Min Li, 2007 .

Wavelet image inpainting based on Dictionary Learning with a Beta Process

Xiangchu Feng, Dazhou Zhu, Guanghua Zhou, 2012, World Automation Congress 2012.

An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation: An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation

Xiangchu Feng, Xuan-de Zhang, Xiaoping Li, 2014 .