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Image resampling between orthogonal and hexagonal lattices

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Organization
Abstract
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.
Keywords
INTERPOLATION

Citation

Please use this url to cite or link to this publication:

Chicago
Van De Ville, Dimitri, Rik Van de Walle, Wilfried Philips, and Ignace Lemahieu. 2002. “Image Resampling Between Orthogonal and Hexagonal Lattices.” In 2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDDINGS, 389–392. New York, NY, USA: IEEE.
APA
Van De Ville, Dimitri, Van de Walle, R., Philips, W., & Lemahieu, I. (2002). Image resampling between orthogonal and hexagonal lattices. 2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDDINGS (pp. 389–392). Presented at the IEEE International Conference on Image Processing, New York, NY, USA: IEEE.
Vancouver
1.
Van De Ville D, Van de Walle R, Philips W, Lemahieu I. Image resampling between orthogonal and hexagonal lattices. 2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDDINGS. New York, NY, USA: IEEE; 2002. p. 389–92.
MLA
Van De Ville, Dimitri, Rik Van de Walle, Wilfried Philips, et al. “Image Resampling Between Orthogonal and Hexagonal Lattices.” 2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDDINGS. New York, NY, USA: IEEE, 2002. 389–392. Print.
@inproceedings{403401,
  abstract     = {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.},
  author       = {Van De Ville, Dimitri and Van de Walle, Rik and Philips, Wilfried and Lemahieu, Ignace},
  booktitle    = {2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDDINGS},
  isbn         = {0-7803-7622-6},
  keyword      = {INTERPOLATION},
  language     = {eng},
  location     = {Rochester, NY, USA},
  pages        = {389--392},
  publisher    = {IEEE},
  title        = {Image resampling between orthogonal and hexagonal lattices},
  url          = {http://dx.doi.org/10.1109/ICIP.2002.1038987},
  year         = {2002},
}

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