Bayesian image deconvolution and denoising using complex wavelets

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 273-276

  De Rivaz, P ^a   Kingsbury, N ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; IMAGE ANALYSIS; IMAGING TECHNIQUES; ITERATIVE METHODS; MATHEMATICAL MODELS; SIGNAL TO NOISE RATIO; WAVELET TRANSFORMS;

BAYESIAN IMAGE DECONVOLUTION; COMPLEX WAVELETS; DENOISING;

IMAGE RECONSTRUCTION;

EID: 0035173056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Bayesian inference in wavelet based methods, chapter minimax restoration and deconvolution
2. Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition
3. Wavelet-domain regularized deconvolution for Ill-conditioned systems
4. Wavelet-vaguelette restoration in photon-limited imaging
5. Spatially adaptive wavelet-based multiscale image restoration
6. Wavelet domain image restoration with adaptive edge-preserving regularization
7. Solution of inverse problems in image processing by wavelet expansions
8. A Bayesian multiscale approach to joint image restoration and edge detection
9. A dual-tree complex wavelet transform with improved orthogonality and symmetry properties
10. The dual-tree complex wavelet transform: A new efficient tool for image restoration and enhancement
11. Iterative wiener filters for image restoration