Kernel regression based feature extraction for 3D MR image denoising.
Ezequiel López-RubioMaría Nieves Florentín-NúñezPublished in: Medical Image Anal. (2011)
Keyphrases
- image denoising
- feature extraction
- image processing
- denoising
- feature space
- bilateral filter
- noisy images
- natural images
- total variation
- partial differential equations
- wavelet coefficients
- kernel function
- kernel methods
- wavelet domain
- bilateral filtering
- denoising algorithm
- feature vectors
- wavelet transform
- denoising methods
- additive gaussian noise
- nonlocal means
- face recognition
- wavelet domain hidden markov tree
- support vector
- image classification
- image deblurring
- multiscale
- undecimated wavelet transform
- anisotropic diffusion
- frequency domain
- texture features
- multiresolution
- image inpainting
- total variation regularization
- texture analysis
- markov random field
- gaussian process
- kernel matrix
- feature set
- feature selection
- pairwise
- contourlet transform
- object recognition
- computational complexity
- edge preservation