Subjective evaluations of example-based, total variation, and joint regularization for image processing.
Hyrum S. AndersonMaya R. GuptaJon Yngve HardebergPublished in: Computational Imaging (2012)
Keyphrases
- total variation
- image processing
- regularization methods
- regularization term
- image restoration
- color image restoration
- minimization problems
- denoising
- total variation regularization
- blind deconvolution
- image denoising
- adaptive regularization
- inverse scale space
- regularization parameter
- augmented lagrangian
- fidelity term
- half quadratic
- convex optimization
- mumford shah
- iterative image restoration
- image deblurring
- regularization method
- total variation minimization
- noisy images
- operator splitting
- edge preserving
- alternating minimization
- augmented lagrangian method
- split bregman
- image enhancement
- vector valued images
- natural images
- high quality
- impulse noise removal
- mumford shah functional
- inverse problems
- partial differential equations
- level set
- edge detection
- color images
- multiscale
- multiplicative noise removal