This paper presents a robust automatic shape classifier using modular wavelet networks (MWNs). A shape descriptor is constructed based on a combination of global geometric features...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...
Abstract-- The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. We present a new wavelet based structurep...
Anja Borsdorf, Rainer Raupach, Thomas Flohr, Joach...
A multiplier-less low complexity reversible integer Karhunen-Lo?ve transform (Low-RKLT) is proposed based on multi-lifting. Conventional methods based on KLT suffer from high comp...
This paper proposes a novel compression scheme with a tunable complexity-ratedistortion trade-off. As images increase in size and resolution, more efficient compression schemes w...
Xavier Delaunay, Marie Chabert, Vincent Charvillat...
We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform [3] and the curvelet transform [7, 6]. Our implementations offer...