Image processing using Newton-based algorithm of nonnegative matrix factorization

被引：2

作者：

Hu, Li-Ying ^{[1
]}

Guo, Gong-De ^{[1
]}

Ma, Chang-Feng ^{[1
]}

机构：

[1] Fujian Normal Univ, Sch Math & Comp Sci, Fuzhou 350007, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2015年 / 269卷

基金：

中国国家自然科学基金;

关键词：

Image processing; Nonnegative matrix factorization; Gradient direction; Newton direction; SPLITTING ITERATION METHODS; POSITIVE-DEFINITE;

D O I：

10.1016/j.amc.2015.08.034

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we propose a Newton-based algorithm for nonnegative matrix factorization in image processing. We employ the new algorithm to three real-world databases. Extensive numerical results show the feasibility and validity of the proposed algorithm. (C) 2015 Elsevier Inc. All rights reserved.

引用

页码：956 / 964

页数：9

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