Bayesian Cramér-Rao Bound for nonlinear filtering with dependent noise processes.
Carsten FritscheSaikat SahaFredrik GustafssonPublished in: FUSION (2013)
Keyphrases
- rao bound
- nonlinear filtering
- nonlinear filters
- impulse noise
- anisotropic diffusion
- compressed sensing
- gaussian noise
- noise level
- signal to noise ratio
- noise reduction
- median filter
- noise removal
- missing data
- denoising
- image processing
- noisy images
- additive noise
- image structure
- noisy data
- maximum likelihood
- depth from defocus
- multiresolution