It has been shown in literature that adaptive regularized image restoration is superior to non-adaptive one. However, the adaptivity introduced in most proposed iterative algorith...
We present an approach for image denoising based on the analysis of the local H?older regularity. The method takes the point of view that denoising may be performed by increasing ...
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
We propose a reconstruction scheme adapted to MRI that takes advantage of a sparsity constraint in the wavelet domain. We show that artifacts are significantly reduced compared t...
Matthieu Guerquin-Kern, Dimitri Van De Ville, C&ea...
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...