Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
In this paper, we propose a non-stationary stochastic filtering framework for the task of albedo estimation from a single image. There are several approaches in literature for alb...
A novel eyelash removal method for preprocessing of human iris images in a human iris recognition system is presented. The method filters each occluded pixel along an axis perpend...
In the Magnetic Resonance Elastography experiment we consider a harmonically oscillating mechanical force applied to the boundary surface of a phantom and synchronized with the mo...
Joyce R. McLaughlin, Daniel Renzi, Jeong-Rock Yoon...
In this paper, we present some adaptive wavelet decompositions that can capture the directional nature of images. Our method exploits the properties of seminorms to build lifting s...