Tieyong Zeng

Orcid: 0000-0002-0688-202X

According to our database1, Tieyong Zeng authored at least 206 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction.
Pattern Recognit., 2025

2024
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm.
IEEE Trans. Knowl. Data Eng., November, 2024

FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction With Deep Feature Alignment.
IEEE J. Biomed. Health Informatics, November, 2024

Quaternion-Aware Low-Rank Prior for Blind Color Image Deblurring.
J. Sci. Comput., November, 2024

Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution.
ACM Comput. Surv., October, 2024

The Illusion of Visual Security: Reconstructing Perceptually Encrypted Images.
IEEE Trans. Circuits Syst. Video Technol., May, 2024

An Efficient Inexact Gauss-Seidel-Based Algorithm for Image Restoration with Mixed Noise.
J. Sci. Comput., May, 2024

Image Segmentation Using Bayesian Inference for Convex Variant Mumford-Shah Variational Model.
SIAM J. Imaging Sci., March, 2024

A Variational Model for Nonuniform Low-Light Image Enhancement.
SIAM J. Imaging Sci., March, 2024

A conservative hybrid deep learning method for Maxwell-Ampère-Nernst-Planck equations.
J. Comput. Phys., March, 2024

Double Transformer Super-Resolution for Breast Cancer ADC Images.
IEEE J. Biomed. Health Informatics, February, 2024

Low-light Image Enhancement via Dual Reflectance Estimation.
J. Sci. Comput., February, 2024

Detachable image decomposition and illumination mapping search for low-light image enhancement.
J. Comput. Appl. Math., January, 2024

A fine-grained orthodontics segmentation model for 3D intraoral scan data.
Comput. Biol. Medicine, January, 2024

Flow Guidance Deformable Compensation Network for Video Frame Interpolation.
IEEE Trans. Multim., 2024

BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration.
IEEE Trans. Instrum. Meas., 2024

Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

DQDG: Data-Free Quantization With Dual Generators for Keyword Spotting.
IEEE Signal Process. Lett., 2024

Deep Inertia $L_{p}$ Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction.
IEEE Signal Process. Lett., 2024

Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration.
SIAM J. Imaging Sci., 2024

Scene recovery: Combining visual enhancement and resolution improvement.
Pattern Recognit., 2024

Kernel correlation-dissimilarity for Multiple Kernel k-Means clustering.
Pattern Recognit., 2024

HFGN: High-Frequency residual Feature Guided Network for fast MRI reconstruction.
Pattern Recognit., 2024

UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution.
Patterns, 2024

EWT: Efficient Wavelet-Transformer for single image denoising.
Neural Networks, 2024

Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network.
Expert Syst. Appl., 2024

Sparse portfolio optimization via ℓ1 over ℓ2 regularization.
Eur. J. Oper. Res., 2024

Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis.
Comput. Vis. Image Underst., 2024

Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach.
CoRR, 2024

Hyper-Compression: Model Compression via Hyperfunction.
CoRR, 2024

Deep Inertia L<sub>p</sub> Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction.
CoRR, 2024

Don't Fear Peculiar Activation Functions: EUAF and Beyond.
CoRR, 2024

Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems.
CoRR, 2024

No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks.
CoRR, 2024

Edge-guided Low-light Image Enhancement with Inertial Bregman Alternating Linearized Minimization.
CoRR, 2024

VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising.
CoRR, 2024

MEF-UNet: An end-to-end ultrasound image segmentation algorithm based on multi-scale feature extraction and fusion.
Comput. Medical Imaging Graph., 2024

Time multiscale regularization for nonlinear image registration.
Comput. Medical Imaging Graph., 2024

Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization.
Appl. Math. Comput., 2024

Dynamic Multimodal Information Bottleneck for Multimodality Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Purified Distillation: Bridging Domain Shift and Category Gap in Incremental Object Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

EvalCrafter: Benchmarking and Evaluating Large Video Generation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Triple Feature Disentanglement for One-Stage Adaptive Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Single image noise level estimation by artificial noise.
Signal Process., December, 2023

MTU2-Net: Extracting Internal Solitary Waves from SAR Images.
Remote. Sens., December, 2023

A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement.
Pattern Recognit., December, 2023

Joint demosaicking and denoising benefits from a two-stage training strategy.
J. Comput. Appl. Math., December, 2023

Color image restoration with mixed Gaussian-Cauchy noise and blur.
Comput. Appl. Math., December, 2023

Frequency Learning via Multi-Scale Fourier Transformer for MRI Reconstruction.
IEEE J. Biomed. Health Informatics, November, 2023

Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification.
IEEE J. Biomed. Health Informatics, November, 2023

Single-particle reconstruction in cryo-EM based on three-dimensional weighted nuclear norm minimization.
Pattern Recognit., November, 2023

Snow Mask Guided Adaptive Residual Network for Image Snow Removal.
Comput. Vis. Image Underst., November, 2023

Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer.
IEEE J. Biomed. Health Informatics, October, 2023

Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks.
SIAM J. Imaging Sci., September, 2023

Rank-One Prior: Real-Time Scene Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI.
IEEE Trans. Medical Imaging, June, 2023

Efficient SAV Algorithms for Curvature Minimization Problems.
IEEE Trans. Circuits Syst. Video Technol., April, 2023

Deep Generative Mixture Model for Robust Imbalance Classification.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Retinex-Based Variational Framework for Low-Light Image Enhancement and Denoising.
IEEE Trans. Multim., 2023

SRRNet: A Semantic Representation Refinement Network for Image Segmentation.
IEEE Trans. Multim., 2023

CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution.
IEEE Trans. Image Process., 2023

Low-Light Image Enhancement via Implicit Priors Regularized Illumination Optimization.
IEEE Trans. Computational Imaging, 2023

Gradient Prior Dilated Convolution Network for Remote Sensing Image Super-Resolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation.
Signal Process., 2023

A hybrid data-driven-physics-constrained Gaussian process regression framework with deep kernel for uncertainty quantification.
J. Comput. Phys., 2023

Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise.
IET Image Process., 2023

A conservative hybrid physics-informed neural network method for Maxwell-Ampère-Nernst-Planck equations.
CoRR, 2023

VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation.
CoRR, 2023

Deep ReLU Networks Have Surprisingly Simple Polytopes.
CoRR, 2023

Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance.
CoRR, 2023

Rethink Depth Separation with Intra-layer Links.
CoRR, 2023

Fast MRI Reconstruction via Edge Attention.
CoRR, 2023

EWT: Efficient Wavelet-Transformer for Single Image Denoising.
CoRR, 2023

Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees.
CoRR, 2023

PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution.
CoRR, 2023

One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks.
CoRR, 2023

Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks.
CoRR, 2023

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos.
CoRR, 2023

vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Recognizable Information Bottleneck.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2023

Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Quaternion-Based Dictionary Learning and Saturation-Value Total Variation Regularization for Color Image Restoration.
IEEE Trans. Multim., 2022

An O-Shape Neural Network With Attention Modules to Detect Junctions in Biomedical Images Without Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2022

Local Spatial Constraint and Total Variation for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep Tensor CCA for Multi-View Learning.
IEEE Trans. Big Data, 2022

Quaternion Screened Poisson Equation for Low-Light Image Enhancement.
IEEE Signal Process. Lett., 2022

Learning multi-level structural information for small organ segmentation.
Signal Process., 2022

Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise.
SIAM J. Imaging Sci., 2022

Phase retrieval from incomplete data via weighted nuclear norm minimization.
Pattern Recognit., 2022

Quaternion-based weighted nuclear norm minimization for color image restoration.
Pattern Recognit., 2022

Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds.
Optim. Lett., 2022

Efficient Color Image Segmentation via Quaternion-based L<sub>1/L<sub>2</sub></sub> Regularization.
J. Sci. Comput., 2022

Preconditioned Three-Operator Splitting Algorithm with Applications to Image Restoration.
J. Sci. Comput., 2022

A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications.
Neurocomputing, 2022

Adjustable super-resolution network via deep supervised learning and progressive self-distillation.
Neurocomputing, 2022

Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge.
CoRR, 2022

Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks.
CoRR, 2022

Snow Mask Guided Adaptive Residual Network for Image Snow Removal.
CoRR, 2022

Convex Augmentation for Total Variation Based Phase Retrieval.
CoRR, 2022

Exploring Latent Sparse Graph for Large-Scale Semi-supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Remote Sensing Image Super-Resolution via Dilated Convolution Network with Gradient Prior.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Graph Laplacian Regularized Spectral-Spatial-Sparse Unmixing for Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Graph-Based Dual Convolutional Network for Automatic Road Extraction from High Resolution Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Pixel screening based intermediate correction for blind deblurring.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


Transformer for Single Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

A robust non-blind deblurring method using deep denoiser prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multilevel Edge Features Guided Network for Image Denoising.
IEEE Trans. Neural Networks Learn. Syst., 2021

Automatic Repair of 3-D Neuron Reconstruction Based on Topological Feature Points and an MOST-Based Repairer.
IEEE Trans. Instrum. Meas., 2021

Crossover Structure Separation With Application to Neuron Tracing in Volumetric Images.
IEEE Trans. Instrum. Meas., 2021

Pixel-Attention CNN With Color Correlation Loss for Color Image Denoising.
IEEE Signal Process. Lett., 2021

Adaptive total variation based image segmentation with semi-proximal alternating minimization.
Signal Process., 2021

Overlapping Domain Decomposition Methods for Ptychographic Imaging.
SIAM J. Sci. Comput., 2021

Surface-Aware Blind Image Deblurring.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Smooth Soft-Balance Discriminative Analysis for imbalanced data.
Knowl. Based Syst., 2021

Local distribution-based adaptive minority oversampling for imbalanced data classification.
Neurocomputing, 2021

Inhomogeneous image segmentation based on local constant and global smoothness priors.
Digit. Signal Process., 2021

From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution.
CoRR, 2021

Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs.
CoRR, 2021

A deep neural network approach on solving the linear transport model under diffusive scaling.
CoRR, 2021

Image restoration based on fractional-order model with decomposition: texture and cartoon.
Comput. Appl. Math., 2021

Two-stage image segmentation based on nonconvex ℓ2-ℓp approximation and thresholding.
Appl. Math. Comput., 2021

DDUNet: Dense Dense U-Net with Applications in Image Denoising.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Structure-Preserving Deraining with Residue Channel Prior Guidance.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rank-One Prior: Toward Real-Time Scene Recovery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Superpixel-Based Variational Model for Image Colorization.
IEEE Trans. Vis. Comput. Graph., 2020

Variational Single Image Dehazing for Enhanced Visualization.
IEEE Trans. Multim., 2020

Soft-Edge Assisted Network for Single Image Super-Resolution.
IEEE Trans. Image Process., 2020

Deep Multi-Level Wavelet-CNN Denoiser Prior for Restoring Blurred Image With Cauchy Noise.
IEEE Signal Process. Lett., 2020

A weighted bounded Hessian variational model for image labeling and segmentation.
Signal Process., 2020

Image denoising based on the adaptive weighted <i>TV<sup>p</sup></i> regularization.
Signal Process., 2020

A Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information.
SIAM J. Imaging Sci., 2020

Constrained Total Variation Based Three-Dimension Single Particle Reconstruction in Cryogenic Electron Microscopy.
J. Sci. Comput., 2020

Residual network with detail perception loss for single image super-resolution.
Comput. Vis. Image Underst., 2020

Learning deep edge prior for image denoising.
Comput. Vis. Image Underst., 2020

Edge Adaptive Hybrid Regularization Model For Image Deblurring.
CoRR, 2020

Residual Learning for Effective joint Demosaicing-Denoising.
CoRR, 2020

CAB U-Net: An end-to-end category attention boosting algorithm for segmentation.
Comput. Medical Imaging Graph., 2020

A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise.
IEEE Access, 2020

2019
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation.
SIAM J. Sci. Comput., 2019

A Nonconvex Model with Minimax Concave Penalty for Image Restoration.
J. Sci. Comput., 2019

Variational Image Restoration and Segmentation with Rician Noise.
J. Sci. Comput., 2019

Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points.
CoRR, 2019

A Two-stage Classification Method for High-dimensional Data and Point Clouds.
CoRR, 2019

Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness.
CoRR, 2019

Image Smoothing Via Gradient Sparsity and Surface Area Minimization.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm.
SIAM J. Imaging Sci., 2018

Weighted variational model for selective image segmentation with application to medical images.
Pattern Recognit., 2018

Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation.
CoRR, 2018

2017
Low Rank Prior and Total Variation Regularization for Image Deblurring.
J. Sci. Comput., 2017

A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT).
J. Sci. Comput., 2017

Regularized Non-local Total Variation and Application in Image Restoration.
J. Math. Imaging Vis., 2017

2016
Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization.
SIAM J. Sci. Comput., 2016

A New Algorithm Framework for Image Inpainting in Transform Domain.
SIAM J. Imaging Sci., 2016

Image Deblurring Via Total Variation Based Structured Sparse Model Selection.
J. Sci. Comput., 2016

Variational Multiplicative Noise Removal by DC Programming.
J. Sci. Comput., 2016

2015
Variational Approach for Restoring Blurred Images with Cauchy Noise.
SIAM J. Imaging Sci., 2015

A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing.
SIAM J. Imaging Sci., 2015

A Convex Variational Model for Restoring Blurred Images with Large Rician Noise.
J. Math. Imaging Vis., 2015

Total Variation Restoration of Images Corrupted by Poisson Noise with Iterated Conditional Expectations.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014
Reducing Artifacts in JPEG Decompression Via a Learned Dictionary.
IEEE Trans. Signal Process., 2014

A Universal Variational Framework for Sparsity-Based Image Inpainting.
IEEE Trans. Image Process., 2014

Single Image Dehazing and Denoising: A Fast Variational Approach.
SIAM J. Imaging Sci., 2014

A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise.
SIAM J. Imaging Sci., 2014

A Two-Stage Image Segmentation Method Using Euler's Elastica Regularized Mumford-Shah Model.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Color Image Segmentation by Minimal Surface Smoothing.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

2013
Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2013

A Dictionary Learning Approach for Poisson Image Deblurring.
IEEE Trans. Medical Imaging, 2013

General Framework to Histogram-Shifting-Based Reversible Data Hiding.
IEEE Trans. Image Process., 2013

Total Variation Structured Total Least Squares Method for Image Restoration.
SIAM J. Sci. Comput., 2013

Two-Step Approach for the Restoration of Images Corrupted by Multiplicative Noise.
SIAM J. Sci. Comput., 2013

Sparse Representation Prior and Total Variation-Based Image Deblurring under Impulse Noise.
SIAM J. Imaging Sci., 2013

A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise.
SIAM J. Imaging Sci., 2013

A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding.
SIAM J. Imaging Sci., 2013

Image Restoration via Tight Frame Regularization and Local Constraints.
J. Sci. Comput., 2013

2012
Multiplicative Noise Removal via a Learned Dictionary.
IEEE Trans. Image Process., 2012

Explicit Coherence Enhancing Filter With Spatial Adaptive Elliptical Kernel.
IEEE Signal Process. Lett., 2012

Lagrangian multipliers and split Bregman methods for minimization problems constrained on S<sup>n-1</sup>.
J. Vis. Commun. Image Represent., 2012

Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization.
Proceedings of the Brain Informatics - International Conference, 2012

2011
Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection.
IEEE Trans. Image Process., 2011

Matching pursuit shrinkage in Hilbert spaces.
Signal Process., 2011

Restoration of images corrupted by mixed Gaussian-impulse noise via l<sub>1</sub>-l<sub>0</sub> minimization.
Pattern Recognit., 2011

On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation.
Adv. Data Sci. Adapt. Anal., 2011

2010
On the Total Variation Dictionary Model.
IEEE Trans. Image Process., 2010

A Multiphase Image Segmentation Method Based on Fuzzy Region Competition.
SIAM J. Imaging Sci., 2010

Poisson noise removal via learned dictionary.
Proceedings of the International Conference on Image Processing, 2010

Reliable histogram features for detecting LSB matching.
Proceedings of the International Conference on Image Processing, 2010

2009
A Generalization of LSB Matching.
IEEE Signal Process. Lett., 2009

A Predual Proximal Point Algorithm Solving a Non Negative Basis Pursuit Denoising Model.
Int. J. Comput. Vis., 2009

Improving embedding efficiency via matrix embedding: A case study.
Proceedings of the International Conference on Image Processing, 2009

2008
Detecting LSB matching by applying calibration technique for difference image.
Proceedings of the 10th workshop on Multimedia & Security, 2008

Improvement of the embedding efficiency of LSB matching by sum and difference covering set.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Incorporating known features into a total variation dictionary model for source separation.
Proceedings of the International Conference on Image Processing, 2008

A further study on steganalysis of LSB matching by calibration.
Proceedings of the International Conference on Image Processing, 2008

2006
Using Gabor Dictionaries in A TV - L<sup>∞</sup>Model, for Denoising.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006


  Loading...