Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising.
Weisheng DongGuangyu LiGuangming ShiXin LiYi MaPublished in: ICCV (2015)
Keyphrases
- image denoising
- low rank
- multi frame
- high order
- denoising
- natural images
- higher order
- total variation
- convex optimization
- point correspondences
- motion estimation
- matrix factorization
- linear combination
- matrix completion
- missing data
- partial differential equations
- image sequences
- image processing
- singular value decomposition
- high dimensional data
- super resolution
- motion analysis
- wavelet coefficients
- optical flow
- sparse coding
- scale space
- semi supervised
- pairwise
- optic flow
- filtering algorithm
- computationally efficient
- video frames
- multiscale
- input image
- edge detection
- markov random field
- probabilistic model
- density estimation
- feature extraction
- mixture model