On a functional depending on curvature and edges
On a variational theory of image amodal completion
On the jump set of solutions of the total variation flow
On the optimality of a new class of 2D recursive filters
The purpose of this paper is to prove the minimum variance property of a new class of 2D, recursive, finite-dimensional filters. The filtering algorithms are derived from general basic assumptions underlying the stochastic modelling of an image as a 2D gaussian random field. An appealing feature of the proposed algorithms is that the image pixels are estimated one at a time; this makes it possible to save computation time and memory requirement with respect to the filtering procedures based on strip...
On the singular decomposition of matrices.
Optimal Adaptive Blur Identification of Noisy Images