De Bie, H and De Schepper, N and Ell, TA and Rubrecht, K and Sangwine, SJ (2015) Connecting spatial and frequency domains for the quaternion Fourier transform. Applied Mathematics and Computation, 271. pp. 581-593. DOI https://doi.org/10.1016/j.amc.2015.09.045
De Bie, H and De Schepper, N and Ell, TA and Rubrecht, K and Sangwine, SJ (2015) Connecting spatial and frequency domains for the quaternion Fourier transform. Applied Mathematics and Computation, 271. pp. 581-593. DOI https://doi.org/10.1016/j.amc.2015.09.045
De Bie, H and De Schepper, N and Ell, TA and Rubrecht, K and Sangwine, SJ (2015) Connecting spatial and frequency domains for the quaternion Fourier transform. Applied Mathematics and Computation, 271. pp. 581-593. DOI https://doi.org/10.1016/j.amc.2015.09.045
Abstract
The quaternion Fourier transform (qFT) is an important tool in multi-dimensional data analysis, in particular for the study of color images. An important problem when applying the qFT is the mismatch between the spatial and frequency domains: the convolution of two quaternion signals does not map to the pointwise product of their qFT images. The recently defined ‘Mustard’ convolution behaves nicely in the frequency domain, but complicates the corresponding spatial domain analysis. The present paper analyses in detail the correspondence between classical convolution and the new Mustard convolution. In particular, an expression is derived that allows one to write classical convolution as a finite linear combination of suitable Mustard convolutions. This result is expected to play a major role in the further development of quaternion image processing, as it yields a formula for the qFT spectrum of the classical convolution.
Item Type: | Article |
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Additional Information: | 17 pages |
Uncontrolled Keywords: | Quaternion Fourier transform; Convolution products; Frequency domain; Spatial domain |
Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Oct 2015 13:28 |
Last Modified: | 30 Oct 2024 20:21 |
URI: | http://repository.essex.ac.uk/id/eprint/15236 |
Available files
Filename: 1506.07033v1.pdf