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Comparison of Image Conversions Between Square Structure and Hexagonal Structure

  • Xiangjian He
  • Jianmin Li
  • Tom Hintz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4678)

Abstract

Hexagonal image structure is a relatively new and powerful approach to intelligent vision system. The geometrical arrangement of pixels in this structure can be described as a collection of hexagonal pixels. However, all the existing hardware for capturing image and for displaying image are produced based on rectangular architecture. Therefore, it becomes important to find a proper software approach to mimic hexagonal structure so that images represented on the traditional square structure can be smoothly converted from or to the images on hexagonal structure. For accurate image processing, it is critical to best maintain the image resolution after image conversion. In this paper, we present various algorithms for image conversion between the two image structures. The performance of these algorithms will be compared though experimental results.

Keywords

Light Intensity Interpolation Method Hexagonal Structure Bilinear Interpolation Lena Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Xiangjian He
    • 1
  • Jianmin Li
    • 2
  • Tom Hintz
    • 1
  1. 1.Computer Vision Research Group, University of Technology, SydneyAustralia
  2. 2.School of Computer and Mathematics, Fuzhou University, Fujian, 320002China

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