-Method-Noise Based Regularization Model for Image Restoration.
Yingjun WangChen-ping ZhaoHongwei JiaoXudong WangPublished in: IEEE Access (2020)
Keyphrases
- image restoration
- regularization method
- regularization parameter
- restoration method
- prior information
- probabilistic model
- image prior
- parameters estimation
- wiener filter
- gaussian noise
- similarity measure
- alternating minimization algorithm
- cross validation
- edge preserving
- image processing
- blind image deconvolution
- synthetic and real images
- iterative image restoration
- energy function
- total variation
- computer vision
- image restoration problems
- adaptive neighborhood
- tikhonov regularization
- image deconvolution
- computational complexity
- regularization methods
- super resolution
- edge detection
- pairwise
- noise variance
- markov random field
- additive noise
- total least squares
- video sequences
- high quality
- blur identification
- em algorithm
- model selection
- motion blur
- image segmentation
- image reconstruction
- modified hopfield neural network