Image fusion based on nonnegative matrix factorization

Author

Zhang, Junving ; Le Wei ; Miao, Qiguang ; Wang, Yue

Author_Institution

Sch. of Comput. Sci., Xidian Univ., Xi´´an, China

Volume

2

fYear

2004

fDate

24-27 Oct. 2004

Firstpage

973

Abstract

Nonnegative Matrix Factorization technique (NMF) has been shown to have various applications to image processing, because of its power of local or part-based representation of objects and/or images. In this paper, we present an image fusion method based on NMF, not by the part-based representation feature of NMF, but by its wholly representation of the images needed to be fused: the images are fused by NMF with the parameter r of the NMF to be set to 1. Our experimental results show that the proposed method is efficient and effective for image fusion compared with many other image fusion methods.

Keywords

feature extraction; image representation; image sensors; matrix decomposition; sensor fusion; wavelet transforms; NMF; image fusion method; image processing; image representation; nonnegative matrix factorization technique; part-based object representation; Application software; Frequency; Image fusion; Image sensors; Power engineering and energy; Power engineering computing; Remote sensing; Sensor fusion; Tin; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2004. ICIP '04. 2004 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-8554-3

Type

conf

DOI

10.1109/ICIP.2004.1419463

Filename

1419463