Computer Science
Amplitude Estimate
11%
And-States
11%
Approximation (Algorithm)
13%
background modeling
11%
Cardinality
8%
Central Processing Unit
11%
Component Analysis
11%
Computational Complexity
14%
Computational Cost
14%
Computational Efficiency
5%
Computational Experiment
8%
Computer Architecture
11%
Computer Vision
5%
Convolutional Neural Network
14%
Convolutional Sparse Representation
14%
Cumulative Distribution
5%
de-noising
41%
Dictionary Learning
39%
Direct Relationship
5%
Effective Approach
11%
Efficient Algorithm
11%
Experimental Result
7%
Feasible Solution
5%
Filter Bank
50%
Fixed Points
11%
Floating Point
11%
Frequency Domain
5%
Gaussian White Noise
6%
Graphics Processing Unit
11%
image denoising
19%
Image Gradient
5%
Image Inpainting
22%
Image Processing
9%
Image Restoration
33%
Inverse Problem
6%
Learning Process
5%
Linear Combination
11%
Local Statistic
15%
Median Filter
37%
Median Filtering
5%
Minor Variation
5%
Multiplicative Model
7%
Multiplicative Update
5%
Negativity Constraint
5%
Neighboring Pixel
5%
Non-Separable
31%
Parallel Architectures
14%
Parallel Computer
11%
Parallel Implementation
11%
Parallel Programming Model
11%
Penalty Function
5%
Principal Components
11%
Quadratic Programming
26%
Regularization
45%
Regularization Parameter
25%
Related Feature
5%
Resolution Level
5%
SIMD
8%
Single Processor
11%
Sorting Algorithm
14%
Sparse Approximation
5%
Sparse Representation
5%
Sparsity
16%
Spatial Domain
5%
Speed-up
5%
Stressful Situation
11%
Time Performance
5%
Total Variation
96%
Training Process
5%
Variational Approach
5%
Video Processing
11%
Video Sequences
5%
Engineering
Amplitude Modulation
11%
Coherent Component
11%
Color Image
7%
Component Analysis
5%
Constrains
5%
Datasheet
11%
Deconvolution
13%
Demodulation
16%
Dictionary Learning
5%
Displacement Transducer
11%
Effective Approach
11%
Filter Banks
16%
Filtered Image
5%
Filtration
11%
Frequency Estimation
6%
Frequency Modulation
11%
Gaussian White Noise
15%
Gaussians
27%
Grayscale
5%
Grayscale Image
5%
Image Inpainting
11%
Image Reconstruction
11%
Image Restoration
16%
Imaging Modality
7%
Impulse Noise
11%
Instantaneous Frequency
9%
Limitations
13%
Linear Variable Differential Transformer
11%
Measuring Point
11%
Modulation Frequency
11%
Multi-Scale Approach
11%
Multiscale
18%
Numerical Methods
11%
Observed Image
14%
Omnidirectional Image
18%
Optimization Approach
11%
Pass Band
5%
Pavement
11%
Pepper Noise
30%
Priori Information
5%
Regularization
33%
Regularization Parameter
11%
Restoration Algorithm
11%
Salt Noise
22%
Scale Image
7%
State-of-the-Art Technique
5%
Total Variation
74%
TV
33%
Video Processing
11%
Mathematics
Alternating Direction Method of Multipliers
7%
Approximates
16%
Approximation Method
5%
Cardinality
11%
Color Image
34%
Computational Cost
16%
Convolution
11%
Convolutional Neural Network
22%
Eigenfunction
11%
Estimation Method
5%
Frequency Domain
5%
Gaussian Distribution
19%
Integer
5%
Iteratively reweighted least square
11%
Least Square
5%
Linear Combination
22%
Linear Phase
11%
Minimizes
24%
Multiplicative
16%
Multiplicative Model
11%
Multiplicative Noise
5%
Nonnegativity
22%
Outer Product
11%
Phase Method
11%
Poisson Model
8%
Programming Problem
10%
Quadratic Approximation
8%
Quadratic Programming
27%
Random Noise
6%
Recursive Algorithm
5%
Regularization
50%
Spatial Domain
5%
Total Variation
100%
Training Set
11%
Upper Bound
5%
Variance
11%
Variational Approach
5%