Low Rank Poisson Denoising (LRPD): A Low Rank Approach Using Split Bregman Algorithm for Poisson Noise Removal From Images.
Prashanth Kumar G.Rajiv Ranjan SahayPublished in: CVPR Workshops (2019)
Keyphrases
- low rank
- matrix completion
- denoising
- noise removal
- gaussian noise
- low rank matrix
- singular values
- minimization problems
- linear combination
- convex optimization
- missing data
- trace norm
- matrix factorization
- total variation
- rank minimization
- singular value decomposition
- blind deconvolution
- image analysis
- image denoising
- synthetic and real images
- similarity measure
- anisotropic diffusion
- high dimensional data
- high order
- noisy images
- image enhancement
- denoising methods
- image restoration
- image segmentation
- object recognition
- norm minimization
- semi supervised
- nonnegative matrix factorization
- noise level