红外技术2018，Vol.40Issue(2)：139-145,7.
基于BMA滤波器和边缘的红外与可见光图像融合
Infrared and Visible Image Fusion Based on BMA Filter and Edge
摘要
Abstract
Image fusion methods based on multi-scale decomposition have some problems as follows: 1) the edge is blurred in the multi-scale decomposition process; 2) contrast of the infrared salient region in the fused image is reduced; 3) small-scale details are suppressed in the fusion process, which looks dim. To address these problems, a new method of infrared and visible image fusion based on the Bayesian model averaging(BMA) filter and edge is proposed in this paper. First, both infrared and visible images are decomposed by the BMA filter; second, a saliency extraction method and an edge weight map are used to compute the weight matrix of base layers and detail layers, respectively; finally, the fused image can be obtained by image reconstruction. Experiments demonstrate that the proposed method outperforms the traditional fusion methods.关键词
红外图像/可见光图像/多尺度分解/BMA滤波器/显著性提取/边缘权值映射Key words
infrared images/visible images/multi-scale decomposition/BMA filter/saliency extraction/edge weight map分类
信息技术与安全科学引用本文复制引用
李博博,马泳,张晓晔,樊凡..基于BMA滤波器和边缘的红外与可见光图像融合[J].红外技术,2018,40(2):139-145,7.基金项目
国家自然科学基金(61605146),国家自然科学基金(61503288). （61605146）
