Preserving edge structures is a challenge to image interpolation algorithms that reconstruct
a high-resolution image from a low-resolution counterpart. We propose a new edge-guided …

We present a new method based on B-spline snakes (active contours) for measuring high-
accuracy contact angles. In this approach, we avoid making physical assumptions by …

Wavelet-based informational tools for quantitative electroencephalogram (EEG) record
analysis are reviewed. Relative wavelet energies, wavelet entropies and wavelet statistical …

Cardiovascular diseases remain the primary cause of death in developed countries. In most
cases, exploration of possibly underlying coronary artery pathologies is performed using X …

In this paper, we propose a new variational model to segment an object belonging to a given
shape space using the active contour method, a geometric shape prior and the Mumford …

Functional near-infrared spectroscopy (fNIR) measures changes in the relative levels of
oxygenated and deoxygenated hemoglobin and has increasingly been used to assess …

Validation of image registration algorithms is a difficult task and open-ended problem,
usually application-dependent. In this paper, we focus on deep brain stimulation (DBS) …

Cubic convolution is a popular method for image interpolation. Traditionally, the piecewise-
cubic kernel has been derived in one dimension with one parameter and applied to two …

Fresnelets are wavelet-like base functions specially tailored for digital holography
applications. We introduce their use in phase-shifting interferometry (PSI) digital holography …

PURPOSE: The magnocellular and parvocellular pathways (M and P pathways) are the
major pathways of the visual system, with distinct histologic and physiologic properties that …