Image restoration under mixed noise using globally convex segmentation.
Jun LiuZhongdan HuanHaiyang HuangPublished in: J. Vis. Commun. Image Represent. (2011)
Keyphrases
- image restoration
- gaussian noise
- low level vision
- markov random field models
- wiener filter
- total variation
- restoration method
- degraded images
- edge preserving
- image deconvolution
- restored image
- markov random field
- image segmentation
- regularization parameter
- super resolution
- image processing
- convex optimization
- segmentation algorithm
- image deblurring
- energy function
- iterative image restoration
- image prior
- blind image restoration
- motion blur
- noise variance
- multiscale
- modified hopfield neural network
- segmentation method
- signal to noise ratio
- level set
- noise removal
- regularization method
- adaptive neighborhood
- mumford shah
- region growing
- point spread function
- additive noise
- image restoration problems
- shape prior
- restoration algorithm
- image noise
- noise level
- energy functional
- blurred images
- piecewise constant
- kernel estimation
- blur identification
- total least squares
- similarity measure