Fusion algorithm of infrared and visible images based on local energy using NSCT

Author

Dai, Wenzhan ; Tan, Libo ; Yang, Aiping

Author_Institution

Inst. of Autom. Control, Zhejiang Sci-Tech Univ., Hangzhou, China

fYear

2012

fDate

6-8 July 2012

Firstpage

4579

Lastpage

4582

Abstract

According to the characteristics of the infrared and visible image, an image fusion algorithm of infrared and visible images based on local average energy using NSCT is proposed. After the two original images -registered are decomposed by using NSCT, the low frequency sub-band coefficients and band-pass directional sub-band coefficients are given by fusion rules based on local average energy, and then the fused image is obtained by inverse NSCT .The simulation results show that the algorithm proposed in this paper is best among wavelet-based, Curvelet-based and NSCT-based method.

Keywords

image fusion; image registration; infrared imaging; inverse transforms; band-pass directional subband coefficients; image decomposition; image fusion algorithm; image registration; infrared images; inverse NSCT; local average energy; low frequency subband coefficients; nonsubsampled contourlet transform; visible light images; Automation; Economics; Educational institutions; Finance; Image fusion; Intelligent control; Transforms; Infrared and visible light image; NSCT; image fusion; local average energy;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4673-1397-1

Type

conf

DOI

10.1109/WCICA.2012.6359346

Filename

6359346