Paper Info
Title
Square to hexagonal lattice conversion based on one-dimensional interpolation
Abstract
This paper concerns the square lattice to hexagonal 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.
Year
DOI
Venue
2016
10.1109/IPTA.2016.7821035
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)
Keywords
Field
DocType
Square sampling,hexagonal sampling,lattice conversion,separable filtesring
Nearest-neighbor interpolation,Spline interpolation,Mathematical analysis,Interpolation,Artificial intelligence,Trilinear interpolation,Linear interpolation,Discrete mathematics,Pattern recognition,Multivariate interpolation,Stairstep interpolation,Mathematics,Bilinear interpolation
Conference
ISSN
ISBN
Citations 
2154-512X
978-1-4673-8911-2
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Xiangguo Li122.40
Bryan Gardiner2288.31
Sonya Coleman321636.84