2018
DOI: 10.1049/iet-ipr.2017.0494
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Image decomposition and texture analysis via combined bi‐dimensional Bedrosian's principles

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Cited by 5 publications
(3 citation statements)
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“…Another contribution of this paper is that the QCV and QCR of LCT are defined and their relationships and physical interpretation are discovered: the fractional convolution of two quaternion signals is to the summation of product of their components, conjugated or odd-even operated, and the product is frequency modulated by chirps; and the product, frequency modulated by a chirp, of two quaternion signals is to the summation, amplitude modulated, of their pseudo convolution; and the correlation of two quaternion signals is to the summation of convolution of their components, which are conjugated or odd-even operated. The last contribution is that the complexity of QLCT, QCV and QCR are given, and its Fast Algorithm is obtained through implementing them via the product theorem in transformed domain whose complexity is similar to FFT, which is of great importance to engineering use [31] [32].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Another contribution of this paper is that the QCV and QCR of LCT are defined and their relationships and physical interpretation are discovered: the fractional convolution of two quaternion signals is to the summation of product of their components, conjugated or odd-even operated, and the product is frequency modulated by chirps; and the product, frequency modulated by a chirp, of two quaternion signals is to the summation, amplitude modulated, of their pseudo convolution; and the correlation of two quaternion signals is to the summation of convolution of their components, which are conjugated or odd-even operated. The last contribution is that the complexity of QLCT, QCV and QCR are given, and its Fast Algorithm is obtained through implementing them via the product theorem in transformed domain whose complexity is similar to FFT, which is of great importance to engineering use [31] [32].…”
Section: Resultsmentioning
confidence: 99%
“…The linear canonical transform (LCT) is a new tool that comes into being in signal processing [1]- [32]. The LCT is the generalization of the FRFT and so on [2] [3] [12].…”
Section: Introductionmentioning
confidence: 99%
“…The average score is improved by 9.4%. Future work will include more analysis via the tools of image processing [7][8][9][10][11].…”
Section: Discussionmentioning
confidence: 99%