Smoothing Nonlinear Conjugate Gradient Method for Image Restoration Using Nonsmooth Nonconvex Minimization.
Xiaojun ChenWeijun ZhouPublished in: SIAM J. Imaging Sci. (2010)
Keyphrases
- image restoration
- image restoration and reconstruction
- conjugate gradient method
- markov random field
- objective function
- regularization term
- total variation
- convex functions
- regularization parameter
- edge preserving
- conjugate gradient
- blurred images
- pairwise
- convex optimization
- image deblurring
- maximum a posteriori
- image processing
- image segmentation
- cost function
- super resolution
- higher order
- positive definite
- energy function
- half quadratic
- parameter estimation
- iterative methods
- computer vision
- restored image
- degraded images
- constrained optimization
- computational complexity
- kernel function
- globally convergent
- global optimum
- neural network