基于局部极端驱动图像过器的红外和视觉图像融合
Wenhao Xiang1, Jianjun Shen1, Li Zhang1
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
这项研究引入了一种新的局部极端驱动图像过器,用于红外和视觉图像融合. 该方法有效地结合了特征,在TNO数据集上表现优于11种最先进的技术.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 信号处理 信号处理
背景情况:
- 红外和视觉图像融合旨在整合两种模式的互补信息.
- 现有的方法往往难以有效地保留这两种图像类型的突出特征.
研究的目的:
- 开发一种新的图像融合方法,有效地融合红外和视觉图像特征.
- 通过利用局部极端来提取特征来增强融合图像的信息内容.
主要方法:
- 为图像平滑和特征提取提出了一个新的局部极端驱动的图像过器.
- 过器被代地应用,以提取多尺度的明亮和黑暗特征地图.
- 功能地图的融合使用了元素对最大和元素对最小的策略,而基础图像是使用结构相似性和强度进行融合的.
- 最终的融合图像是通过结合融合特征地图和基础图像来构建的.
主要成果:
- 拟议的方法在红外和视觉图像融合中表现出卓越的性能.
- 在TNO数据集上的实验结果显示,该方法与11种最先进的聚变技术相匹配或超过.
- 定性和定量评估都证实了拟议方法的有效性.
结论:
- 局部极端驱动过器为红外和视觉图像融合提供了有效的机制.
- 开发的融合策略成功地整合了互补的功能,从而提高了图像质量.
- 该方法为多模式图像融合应用提供了强大而高性能的解决方案.
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