Bayesian wavelet denoising: Besov priors and non-Gaussian noises.
David LeporiniJean-Christophe PesquetPublished in: Signal Process. (2001)
Keyphrases
- wavelet denoising
- wavelet shrinkage
- denoising
- image denoising
- total variation
- signal to noise ratio
- inverse problems
- translation invariant
- wavelet transform
- noise suppression
- shift invariant
- wavelet domain
- nonlinear diffusion
- noisy images
- bayesian framework
- image processing
- natural images
- wavelet basis
- global optimization
- image reconstruction
- noise removal
- maximum likelihood
- denoising algorithm
- wavelet coefficients
- frequency domain
- partial differential equations
- multiscale
- extensive simulations
- denoising methods
- wavelet decomposition
- gaussian distribution
- image deblurring
- noise model
- wiener filter
- multiresolution
- gaussian processes
- feature extraction