This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
A two-step parameter-free approach for non-rigid medical image registration is presented. Displacements of boundary structures are computed in the rst step and then incorporated a...
This paper is concerned with the estimation of steganographic capacity in digital images, using information theoretic bounds and very large-scale experiments to approximate the dis...
We address the problem of non-rigid motion and correspondence estimation in 3D images in the absense of prior domain information. A generic framework is utilized in which a soluti...
—We consider the problem of matching images to tell whether they come from the same scene viewed under different lighting conditions. We show that the surface characteristics det...
Margarita Osadchy, David W. Jacobs, Michael Linden...