Resampling is a common operation in digital image processing systems. The standard procedure involves the (conceptual) reconstruction of a continuous image succeeded by sampling on the new lattice sites. When the reconstruction is done by classical interpolation functions, results might be sub-optimal because the information loss is not minimized. In the particular case of subsampling (i.e., resampling to a coarser lattice), aliasing artifacts might arise and produce disturbing moire patterns. This paper first introduces a spline model for different orders, both for orthogonal and hexagonal lattices. Next, an expression for a least-squares approximation is derived which can be applied to convolution-based resampling. Experimental results for a printing application demonstrate the feasibility of the proposed method and are compared against the standard approach. Our technique can be applied to general leastsquares resampling between regular lattices. r 2002 Elsevier Science B.V. All rights reserved.
['Dimitri Van De Ville', 'Wilfried Philips', 'Ignace Lemahieu']
Least-squares spline resampling to a hexagonal lattice