Abstract
Hexagonal aggregates are hierarchical arrangements of hexagonal cells. These hexagonal cells may be efficiently addressed using a scheme known as generalized balanced ternary for dimension 2, or GBT2. The objects of interest in this paper are digital images whose domains are hexagonal aggregates. We define a discrete Fourier transform (DFT) for such images. The main result of this paper is a radix-7, decimation-in-space fast Fourier transform (FFT) for images defined on hexagonal aggregates. The algorithm has complexity N log7 N. It is expressed in terms of the p-product, a generalization of matrix multiplication. Data reordering (also known as shuffle permutations) is generally associated with FFT algorithms. However, use of the p-product makes data reordering unnecessary.
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Zapata, J.L., Ritter, G.X. Fast Fourier Transform for Hexagonal Aggregates. Journal of Mathematical Imaging and Vision 12, 183–197 (2000). https://doi.org/10.1023/A:1008370531376
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DOI: https://doi.org/10.1023/A:1008370531376