Wavelet Deconvolution With Noisy Eigenvalues


Over the last decade, there has been a lot of interest in wavelet-vaguelette methods for the recovery of noisy signals or images in motion blur. Nonlinear wavelet estimators are known to have good adaptive properties and to outperform linear approximations over a wide range of signals and images, see e.g., the recent WaveD method of Johnstone, Kerkyacharian… (More)
DOI: 10.1109/TSP.2007.893754


7 Figures and Tables

Cite this paper

@article{Cavalier2007WaveletDW, title={Wavelet Deconvolution With Noisy Eigenvalues}, author={Laurent Cavalier and Marc Raimondo}, journal={IEEE Transactions on Signal Processing}, year={2007}, volume={55}, pages={2414-2424} }