Deep Convolutional Neural Network Based on Multi-Scale Feature Extraction for Image Denoising.
Jing ZhangLiu SangZekang WanYuchen WangYunsong LiPublished in: VCIP (2020)
Keyphrases
- image denoising
- multiscale
- feature extraction
- natural images
- image processing
- wavelet coefficients
- deep learning
- wavelet transform
- sparse coding
- denoising
- noisy images
- total variation
- partial differential equations
- wavelet domain
- local binary pattern
- scale space
- image representation
- feature vectors
- bilateral filtering
- frequency domain
- feature selection
- contourlet transform
- wavelet domain hidden markov tree
- denoising algorithm
- texture features
- image patches
- computer vision
- face recognition
- edge detection
- feature space
- undecimated wavelet transform
- image deblurring
- machine learning
- image fusion
- higher order
- denoising methods
- image classification
- nonlinear diffusion
- image restoration
- image segmentation
- additive gaussian noise
- total variation regularization
- texture analysis
- filter bank
- pairwise
- noise level
- optic flow
- object recognition