Fusion algorithm of infrared and visible images based on support value transform

ZHANG Lei; LUO Changgeng; ZHANG Yingying; LI Genquan; YANG Xingqing; WANG Xiaoxia

doi:10.7510/jgjs.issn.1001-3806.2015.03.032

In order to improve the fusion quality of visible and infrared images, a fusion algorithm was put forward based on support value transform. At first, the visible and infrared images were transformed by support value. And then the low frequency coefficient was fused by using local energy ratio modulation weighted rule while the high frequency coefficient was fused by using local variance ratio weighted rule. Finally the fused image was obtained through the reconstruction algorithm and the fusion performance was gotten after theoretical analysis. The results show that, compared with wavelet transform, contourlet transform and the algorithm provided in the literature, the method improves the fine details, contained information and visual effect of the image significantly.

Fusion algorithm of infrared and visible images based on support value transform

1. Physics & Electronic Engineering College, Nanyang Normal University, Nanyang 473061, China;

2. School of Information and Communication Engineering, North University of China, Taiyuan 030051, China

Received Date: 2014-04-04

Accepted Date: 2014-04-29

Available Online: 2015-05-25

Abstract: In order to improve the fusion quality of visible and infrared images, a fusion algorithm was put forward based on support value transform. At first, the visible and infrared images were transformed by support value. And then the low frequency coefficient was fused by using local energy ratio modulation weighted rule while the high frequency coefficient was fused by using local variance ratio weighted rule. Finally the fused image was obtained through the reconstruction algorithm and the fusion performance was gotten after theoretical analysis. The results show that, compared with wavelet transform, contourlet transform and the algorithm provided in the literature, the method improves the fine details, contained information and visual effect of the image significantly.

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Reference (20)

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Fusion algorithm of infrared and visible images based on support value transform

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