Abstract. A constrained variational deconvolution approach for multichannel images is presented. Constraints are enforced through a reparametrisation which allows a differential g...
We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
Wavelet-based statistical analysis methods for fMRI are able to detect brain activity without smoothing the data. Typically, the statistical inference is performed in the wavelet ...
by 0. In the discrete Fourier transform (DFT) domain, We propose a hybrid approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by w...
Ramesh Neelamani, Hyeokho Choi, Richard G. Baraniu...