一种多波段红外图像联合配准和融合方法

doi:10.11999/JEIT150479

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Abstract

The registration and fusion are the two essential steps to get a composed image from the multispectral infrared images in the night vision. However, at present these two processes are considered as two independent steps, where the registration error may significantly affect the fusion quality. In this paper, a novel iteration optimization method is proposed to obtain the optimal registration parameter for the following fusion process. Definition index of the region of interest in the fused image is used to improve the register process, and simulated annealing method is used to solve the joint optimization problem. The experimental results show that the proposed method provides a robust stability and performance over several other state-of-the-art methods in the registration accuracy and fusion quality.

Key words： Image fusion Image registration Multispectral infrared images Definition index

Received: 28 April 2015 Published: 18 November 2015

PACS:

TP391.41

Fund:

The National Natural Science Foundation of China (61101195), Natural Science Foundation of Jiangsu Province (SBK201343283)

Corresponding Authors: CHANG Benkang E-mail: bkchang@mail.njust.edu.cn

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	Articles by authors
	LI Yingjie
	ZHANG Junju
	CHANG Benkang
	QIAN Yunsheng
	LIU Lei

Cite this article:

LI Yingjie,ZHANG Junju,CHANG Benkang等. Joint Image Registration and Fusion for Multispectral Infrared Images[J]. JEIT, 2016, 38(1): 8-14.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150479 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I1/8

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