Li, Xiangguo, Gardiner, Bryan and Coleman, Sonya (2017) Square to Hexagonal Lattice Conversion Based on One-Dimensional Interpolation. In: International Conference on Image Processing Theory, Tools and Applications, Oulu, Finland. IEEE. 6 pp. [Conference contribution]
- Accepted Version
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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.
|Item Type:||Conference contribution (Paper)|
|Keywords:||Square sampling, hexagonal sampling, lattice con- version, separable filtering|
|Faculties and Schools:||Faculty of Computing & Engineering|
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
|Research Institutes and Groups:||Computer Science Research Institute > Intelligent Systems Research Centre|
Computer Science Research Institute
|Deposited By:||Dr Bryan Gardiner|
|Deposited On:||03 Feb 2017 10:01|
|Last Modified:||03 Feb 2017 10:01|
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