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

页数：6

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