This paper explains a least-squares approach which minimizes the information loss when resampling to a hexagonal lattice. In particular, resampling to a coarser ...

Resampling is a common operation in digital image processing systems. The standard procedure involves the. (conceptual) reconstruction of a continuous image ...

The standard procedure involves the (conceptual) reconstruction of a continuous image succeeded by sampling on the new lattice sites. When the reconstruction is ...

D. Van De Ville, W. Philips and I. Lemahieu, "Least-squares Spline Resampling to a Hexagonal Lattice", Signal Processing: Image Communication, vol. 17, no. 5, ...

We propose a simple recipe to construct hexagonal splines and make use of these splines to derive the least-squares reconstruction function. To demonstrate ...

This paper first introduces a spline model for different orders, both for orthogonal and hexagonal lattices. Next, an expression for a least-squares ...

We propose a simple recipe to construct hexagonal splines and make use of these splines to derive the least-squares reconstruction function. To demonstrate ...

Van De Ville, D., Philips, W., & Lemahieu, I. (2002). Least-squares spline resampling to a hexagonal lattice. SIGNAL PROCESSING-IMAGE COMMUNICATION, 17(5), ...

This paper presents a novel approach which minimizes the loss of information, in a least-squares sense, while resampling between orthogonal and hexagonal ...

ABSTRACT. We propose new discrete-to-continuous interpolation models for hexagonally sampled data, that generalize two families of splines.