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...
In this paper we consider the estimation of the unknown hyperparameters for the problem of reconstructing a high-resolution image from multiple undersampled, shifted, blurred and ...
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos...
We present a framework for designing fast and monotonic algorithms for transmission tomography penalizedlikelihood image reconstruction. The new algorithms are based on paraboloid...
Abstract The ability of the modern graphics processors to operate on large matrices in parallel can be exploited for solving constrained image deblurring problems in a short time. ...
Valeria Ruggiero, Thomas Serafini, Riccardo Zanell...
We are concerned with the reconstruction of a regularly-sampled image based on irregularly-spaced samples thereof. We propose a new iterative method based on a wavelet representat...