Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration.
Igor N. AizenbergTaras BreginConstantine ButakoffVictor N. KarnaukhovNickolay S. MerzlyakovOlga MilukovaPublished in: ICANN (2002)
Keyphrases
- image restoration
- blurred images
- kernel estimation
- blind image restoration
- space variant
- image deconvolution
- image deblurring
- motion blur
- blur identification
- neural network
- blind image deconvolution
- point spread function
- blind restoration
- regularization parameter
- degraded images
- total variation
- modified hopfield neural network
- parameters estimation
- restored image
- image prior
- edge preserving
- blur kernel
- spatially varying
- blind deconvolution
- markov random field
- super resolution
- image processing
- wiener filter
- gaussian noise
- motion deblurring
- generalized cross validation
- spatial domain
- maximum likelihood
- motion blurred images
- adaptive neighborhood
- denoising
- regularization method
- synthetic and real images
- radon transform
- restoration algorithm
- iterative image restoration
- noisy images
- model selection
- parameter estimation
- bayesian estimation