Title :
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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6359346
