Grey-level image reconstructions using Bessel-Fourier moments

被引：0

作者：

Toxqui-Quitl, C. ^{[1
]}

Gutierrez-Lazcano, L. ^{[1
]}

Padilla-Vivanco, A. ^{[1
]}

Camacho-Bello, C. ^{[1
]}

机构：

[1] Univ Politecn Tulancingo, Lab Opt & Vis Comp, Huapalcalco, Hidalgo, Mexico

来源：

22ND CONGRESS OF THE INTERNATIONAL COMMISSION FOR OPTICS: LIGHT FOR THE DEVELOPMENT OF THE WORLD | 2011年 / 8011卷

关键词：

orthogonal moments; image reconstruction; Bessel functions; RECOGNITION;

D O I：

10.1117/12.903391

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this work, we reconstruct discrete image functions by means Bessel-Fourier polynomials. To measure the image reconstruction we use the Normalized image reconstruction error between the input and reconstructed images. We show that, a good reconstruction performance is found to be available for gray-level images. The reconstruction algorithm is implemented using the forty zeros of the Bessel function of the third kind. Experimental results are presented.

引用

页数：9

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