红外技术2017，Vol.39Issue(5)：421-426,6.
基于视觉显著性与对比度增强的红外图像融合
Infrared Image Fusion Based on Visual Saliency and Contrast Enhancement
张承泓 1李范鸣 1吴滢跃1
作者信息
- 1. 中国科学院红外探测与成像技术重点实验室,上海技术物理研究所,上海 200083
- 折叠
摘要
Abstract
Traditional infrared image fusion by multi-scale analysis has some disadvantage: the fused image cannot improve contrast, some details of the image cannot be caught; Fusion rules only depend on single feature, causing that the key target features in the scene of the fused image cannot be highlighted. To solve the above problems, in this paper, an infrared image fusion algorithm based on visual saliency and contrast enhancement is proposed. Firstly, the image is enhanced by using the algorithm of multi-scale Retinex based on adaptive guided filter; then, the image is decomposed by NSCT; finally, we use visual saliency to guide fusing the low frequency coefficient, using coefficient based on window to fuse band pass coefficient. The experimental results show that the fusion effect is superior to the traditional method.关键词
图像增强/图像融合/视觉显著性/自适应引导滤波/NSCT/多尺度RetinexKey words
image enhancement/image fusion/visual saliency/adaptive guided filter/NSCT/multi-scale Retinex分类
信息技术与安全科学引用本文复制引用
张承泓,李范鸣,吴滢跃..基于视觉显著性与对比度增强的红外图像融合[J].红外技术,2017,39(5):421-426,6.
