A Study of Jacobi-Fourier Moments via Image Reconstruction

被引:1
作者
Liang, Yubing [1 ]
Liao, Simon [1 ]
机构
[1] Univ Winnipeg, Dept Appl Comp Sci, Winnipeg, MB, Canada
来源
2020 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2020年
关键词
Jacobi-Fourier moments; Jacobi polynomials; computational accuracy; image reconstruction;
D O I
10.1109/ccece47787.2020.9255726
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we have discussed the computational aspects regarding to Jacobi-Fourier moments. A kxk numerical scheme has been applied to improve the computing accuracy of Jacobi-Fourier moments. To verify our proposed method, image reconstructions of the higher orders of Jacobi-Fourier moments have been carried out. The experimental results of reconstructing a testing image sized at 512x512 are highly satisfying. We have also conducted a study on image reconstructions from uneven order pairs of Jacobi-Fourier moments, {n, m}, and concluded that the order n and repetition m preserve the circular and radial pattern information of image, respectively.
引用
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页数:6
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