Comparison of EMD Based Image Fusion Methods

Author

Zhang, Xiuqiong

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Leshan Teacher´´s Coll., Leshan

fYear

2009

fDate

8-10 March 2009

Firstpage

302

Lastpage

305

Abstract

Image fusion involves merging two or more images in such a way as to retain the most desirable characteristics of each. When a color visible image is fused with infrared image, the desired result is a color image with natural color appearance and full information. In this paper, an introduction to empirical mode decomposition (EMD) theory and the results from three image fusion schemes based on EMD-complex EMD(CEMD) and bidimensional EMD(BEMD) are compared. The experimental results demonstrate that the new BEMD-based fusion method, proposed by this paper, can effectively produce a color fused image with the similar natural characteristics as the original color visible image and the quality of the fused image is the best.

Keywords

image colour analysis; image fusion; infrared imaging; EMD theory; color visible image; empirical mode decomposition; fused image fused image; image fusion methods; infrared image; Automation; Color; Computer science; Educational institutions; Frequency; Image fusion; Infrared imaging; Merging; Signal analysis; Signal resolution; BEMD; CEMD; EMD; image fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering, 2009. ICCAE '09. International Conference on

Conference_Location

Bangkok

Print_ISBN

978-0-7695-3569-2

Type

conf

DOI

10.1109/ICCAE.2009.36

Filename

4804537