Total variation-wavelet-curvelet regularized optimization for image restoration.
Shunsuke OnoTakamichi MiyataKatsunori YamaokaPublished in: ICIP (2011)
Keyphrases
- loss function
- total variation
- image restoration
- denoising
- regularization methods
- regularization method
- total least squares
- image denoising
- image restoration problems
- image processing
- half quadratic
- edge preserving
- convex optimization
- regularization parameter
- image deblurring
- regularization term
- blind deconvolution
- total variation minimization
- restored image
- wavelet domain
- super resolution
- markov random field
- minimization problems
- noisy images
- natural images
- color image restoration
- inverse scale space
- fidelity term
- augmented lagrangian
- wavelet transform
- alternating minimization
- denoising algorithm
- wavelet coefficients
- wiener filter
- gaussian noise
- iterative image restoration
- split bregman
- higher order
- multiresolution
- objective function
- motion blur
- blurred images
- degraded images
- convex relaxation
- denoising methods
- edge detection
- multiscale
- high quality