Image Fusion with Guided Filtering
Image Fusion with Guided Filtering
复制标题
具有引导过滤的图像融合
DOI：
10.1109/tip.2013.2244222
复制
发表时间：
2013-07-01
影响因子：
10.6
通讯作者：
Hu, Jianwen
中科院分区：
文献类型：
--
作者：
Li, Shutao;Kang, Xudong;Hu, Jianwen
提出了一种快速有效的图像融合方法，通过对多幅图像进行融合，得到高信息量的融合图像。所提出的方法是基于一个两尺度分解的图像到一个基层包含大规模的强度变化，和一个细节层捕捉小尺度的细节。提出了一种新的基于引导滤波的加权平均技术，以充分利用空间一致性进行基本层和细节层的融合。实验结果表明，所提出的方法可以获得国家的最先进的性能融合的多光谱，多聚焦，多模态，多曝光图像。
A fast and effective image fusion method is proposed for creating a highly informative fused image through merging multiple images. The proposed method is based on a two-scale decomposition of an image into a base layer containing large scale variations in intensity, and a detail layer capturing small scale details. A novel guided filtering-based weighted average technique is proposed to make full use of spatial consistency for fusion of the base and detail layers. Experimental results demonstrate that the proposed method can obtain state-of-the-art performance for fusion of multispectral, multifocus, multimodal, and multiexposure images.