Depth-variant image restoration in 3D fluorescence microscopy: Two approaches under Gaussian and Poissonian noise conditions.
Saima Ben HadjLaure Blanc-FéraudElie MaaloufBruno ColicchioAlain DieterlenPublished in: ISBI (2012)
Keyphrases
- image restoration
- gaussian noise
- total variation
- image prior
- image deconvolution
- noise level
- wiener filter
- fluorescence microscopy
- image processing
- edge preserving
- regularization parameter
- image deblurring
- super resolution
- random valued impulse noise
- degraded images
- denoising
- noise removal
- restored image
- noise variance
- blurred images
- restoration algorithm
- impulse noise
- restoration method
- image restoration problems
- iterative image restoration
- noise model
- motion blur
- markov random field
- regularization method
- machine learning
- blur identification
- noisy images
- tikhonov regularization
- color images
- modified hopfield neural network
- image details
- spatially varying
- adaptive neighborhood
- image segmentation