BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)

Image Resampling Between Orthogonal and Hexagonal Lattices

D. Van De Ville, R. Van de Walle, W. Philips, I. Lemahieu

Proceedings of the 2002 Ninth IEEE International Conference on Image Processing (ICIP'02), Rochester NY, USA, September 22-25, 2002, pp. III.389–III.392.

Resampling techniques are commonly required in digital image processing systems. Many times the classical interpolation functions are used, i.e., nearest-neighbour interpolation and bilinear interpolation, which are prone to the introduction of undesirable artifacts due to aliasing such as moire patterns. This paper presents a novel approach which minimizes the loss of information, in a least-squares sense, while resampling between orthogonal and hexagonal lattices. Making use of an extension of 2D splines to hexagonal lattices, the proper reconstruction function is derived. Experimental results for a printing application demonstrate the feasibility of the proposed method and are compared against the classical techniques. 

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