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.
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收藏
页数：9
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