Non-Convex Low-Rank Approximation for Image Denoising and Deblurring.
Yang LeiZhanjie SongQiwei SongPublished in: IEICE Trans. Inf. Syst. (2016)
Keyphrases
- image denoising
- denoising
- low rank approximation
- image deblurring
- convex optimization
- total variation
- low rank
- singular value decomposition
- noisy images
- natural images
- image processing
- inverse problems
- partial differential equations
- spectral clustering
- kernel matrix
- iterative algorithms
- minimization problems
- wavelet coefficients
- nonnegative matrix factorization
- frequency domain
- low rank matrix
- image restoration
- convex relaxation
- machine learning
- least squares
- support vector machine
- noise level
- pairwise