Logarithmic High Dimensional Model Representation in Image Processing

被引：1

作者：

Tunga, Burcu ^{[1
]}

机构：

[1] Istanbul Tech Univ, Fac Sci & Letters, Dept Engn Math, TR-34469 Istanbul, Turkey

来源：

10TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES (ICNPAA 2014) | 2014年 / 1637卷

关键词：

approximation; multivariate analysis; image processing; HDMR;

D O I：

10.1063/1.4904687

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Logarithmic HDMR is an HDMR based method and it allows us to reconstruct an analytical structure for a given multivariate analytical function in terms of less variate components. In this study, we develop a method to model multivariate data through Logarithmic HDMR and we use this method to make an approximation to the given original image. That is, we deal with the reconstruction of an image by using Logarithmic HDMR philosophy and we reach very promising results.

引用

页码：1120 / 1126

页数：7

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