Keyphrases
Minimization Problem
83%
Dictionary Learning
83%
Image Segmentation Method
66%
Denoising
55%
Mumford-Shah Model
50%
Phase Segmentation
50%
Alternating Minimization
44%
Blurry Image
41%
Learning Approaches
41%
Split Bregman Algorithm
41%
Optimization Problem
36%
Subspace Structure
33%
Poisson-Gaussian Noise
33%
Sparsity Basis
33%
Image Inpainting
33%
Multiplicative gamma Noise
33%
Matching Pursuit
33%
Variational Framework
33%
I-divergence
33%
Multiplicative Noise
33%
Lagrangian multiplier
33%
Poisson Noise
33%
Poisson Image
33%
Numerical Methods
33%
Hilbert Space
33%
Image Deblurring
33%
Poisson
33%
Spectral Clustering
33%
Segmentation Method
33%
Learning-based
33%
Structure Identification
33%
Dictionary Model
33%
Convex Variational Problems
33%
Image Reconstruction
33%
Total Variation
33%
Sparse Representation
33%
Blurred Image
33%
Impulse Noise
33%
Image Denoising
27%
Data Fidelity Term
27%
Solution Uniqueness
27%
Variational Model
27%
Primal-dual Algorithm
27%
Two-stage Segmentation
25%
K(I)
25%
κ-Phases
25%
Clustering Methods
25%
Multiphase Segmentation
25%
Smooth Solution
25%
TV Regularization
22%
Numerical Experiments
22%
Nonnegative Data
16%
Impulse Denoising
16%
Main Algorithm
16%
Coding Coefficient
16%
Low-light Image
16%
Medical Image Processing
16%
Ratio Values
16%
Method Noise
16%
Unit-norm Constraint
16%
Pixel-based
16%
Peak Signal to Noise Ratio
16%
Data Diffusion
16%
Biological Image Processing
16%
Variable Splitting
16%
Three-term
16%
Sparse Prior
16%
Energy Function
16%
Chromaticity
16%
Total Variation Regularization
16%
Rudin-Osher-Fatemi Model
16%
Easy-to-implement
16%
Constrained Problems
16%
Image Patch
16%
Magnetic Resonance Imaging
16%
Regularization Term
16%
Image Recovery
16%
State-of-the-art Techniques
16%
Number of Experiments
16%
Dictionary
16%
High-dimensional Data
16%
Gradient Method
16%
Patch-based
16%
Maximum a Posteriori
16%
Visual Quality
16%
Small Time Step
16%
Learned Dictionary
16%
Total Variation Model
16%
Nonlocal TV
11%
Denoising Method
11%
Variation Approach
11%
Missing pixels
11%
Framelet Transform
11%
Inpainting
11%
Linear Combination
11%
Text Removal
11%
Numerical Algorithms
11%
Scratch Removal
11%
Pixel Filling
11%
BM3D Filter
11%
Regularization Operator
11%
Theoretical Convergence
11%
Convex Model
11%
Gradient Operator
11%
Pixel Block
11%
Latent Image
11%
Exact Solutions
11%
Strictly Convex
11%
Penalty Method
11%
Quadratic Penalty Method
11%
Pixel Value
11%
Original Problem
11%
L1-norm
11%
Wavelet Transform
11%
Wavelet Thresholding
11%
Image Processing
11%
Operator Splitting Method
11%
Deblurring
11%
Modified Model
11%
Numerical Test
11%
Tight Frame
11%
Statistical Properties
11%
Dictionary Approach
11%
Dual Formulation
11%
First-order Primal-dual Algorithm
11%
Learning-based Optimization
8%
MRI Images
8%
Segmentation Feature
8%
Sparsity Optimization
8%
Segmentation Model
8%
Proximal Point
8%
Nonnegative Coding
8%
Chambolle-Pock
8%
Non-negativity Constraint
8%
Affinity Matrix
8%
Sparse Coding
8%
Sparsity Constraint
8%
Text Data
8%
Dictionary-based
8%
Clustering Results
8%
Image Segmentation
8%
Data Clustering
8%
Convexity
8%
Data Partitioning
8%
Cluster Performance
8%
Computationally Efficient
8%
Image Data
8%
Low-dimensional Subspace
8%
High Spectral
8%
Noisy Image
8%
Microarray Data
8%
Testing Method
8%
Number of Segments
8%
Countable Set
6%
Shrinkage Function
6%
Linear Expansion
6%
Atom Selection
6%
Negative Impact
6%
Engineering
Experimental Result
77%
Segmentation Method
66%
Total Variation
66%
Regularization
55%
Optimisation Problem
44%
Dictionary Learning
44%
Image Processing
44%
Impulse Noise
33%
TV
33%
Gaussians
33%
Peak Signal
33%
Learning Approach
33%
Image Restoration
33%
Maximum a Posteriori
33%
Signal-to-Noise Ratio
33%
State-of-the-Art Method
33%
Based Segmentation Method
16%
Minimization Problem
16%
Specifies
16%
Convergent
16%
Chambolle
16%
Recovered Image
11%
Numerical Experiment
11%
Energy Function
11%
Modified Model
11%
Good Performance
11%
Image Patch
11%
Computer Science
Dictionary Learning
100%
Experimental Result
86%
Segmentation Method
66%
Image Segmentation
66%
Sparse Representation
66%
Learning Approach
41%
de-noising
33%
Recovered Image
33%
Spectral Clustering
33%
Energy Function
33%
Clustering Method
27%
Optimization Problem
25%
Primal-Dual
16%
Minimization Problem
16%
Sparsity
16%
Image Processing
16%
Regularization Term
16%
Total Variation
16%
peak signal to noise ratio
16%
Visual Quality
16%
Segmentation Model
11%
Affinity Matrix
8%
Clustering Result
8%
Data Partitioning
8%
Dimensional Subspace
8%
Clustered Data
8%