Infrared and Visible Image Fusion Based on Visual Saliency and NSCT

被引：0

作者：

Fu Z.-Z. ^{[1
]}

Wang X. ^{[1
]}

Li X.-F. ^{[1
]}

Xu J. ^{[1
]}

机构：

[1] School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu

来源：

Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2017年 / 46卷 / 02期

关键词：

Guided filter; Image fusion; NSCT; Saliency;

D O I：

10.3969/j.issn.1001-0548.2017.02.007

中图分类号：

学科分类号：

摘要：

An infrared and visible image fusion algorithm is proposed based on visual saliency and non-subsampled contourlet transform (NSCT). At first, the frequency tuned saliency detection method is improved by guided filter and applied to detect the saliency of infrared image. Then the infrared and visible light images are decomposed into low frequency and high-frequency sub-bands by NSCT. Finally the saliency map of infrared image is used to guide the fusion in low frequency sub-band, and the rule of maximum absolute value selection is used for the fusion in high frequency sub-band. Experimental results demonstrate that compared to several other algorithms, the proposed method highlights the IR targets and at the same time makes the fusion images have rich background information, and better visual fusion effects and objective quality evaluations are obtained. © 2017, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.

引用

页码：357 / 362

页数：5

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