Square to Hexagonal Lattice Conversion Based on One-Dimensional Interpolation

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Abstract

This paper concerns the square lattice to hexago- nal lattice conversion in practical hexagonal image processing, and presents a simplified conversion method that converts the common two-dimensional (2-D) interpolation approach to one- dimensional (1-D) interpolation. This paper is motivated by the sampling interval relationship between the square lattice and the hexagonal lattice, and assumes the 2-D interpolation kernel as separable, then changes the 2-D interpolation into successive 1-D interpolations, and finally reduces to the 1-D interpolation along the horizontal direction only. Compared with the common 2-D interpolation approach, the proposed simplified conversion method is more simple and more computationally efficient, and it is also more suitable for parallel processing. Finally, the experimental results verify the correctness as well as the computational efficiency.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Print)978-1-4673-8910-5
DOIs
Publication statusE-pub ahead of print - 19 Jan 2017
EventInternational Conference on Image Processing Theory, Tools and Applications - Oulu, Finland
Duration: 19 Jan 2017 → …

Conference

ConferenceInternational Conference on Image Processing Theory, Tools and Applications
Period19/01/17 → …

Keywords

  • Square sampling
  • hexagonal sampling
  • lattice con- version
  • separable filtering

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