红外与可见光图像融合技术的研究进展

红外与可见光融合图像既具有红外的辐射信息又具有可见光的细节信息，在生产生活、军事监视等场景得到广泛应用，已然成为图像融合领域的重点研究方向。根据图像融合方法的核心思想、融合框架、研究进展对基于多尺度变换、稀疏表示、神经网络等融合方法进行详细阐述对比，并综述了红外与可见光图像融合在各领域内的应用现状，以及常用的评价指标。并选择具有代表性的多种融合方法与评价指标，应用于六个不同场景，验证各方法的优势与不足。最后，实验分析并总结现有红外与可见光图像融合方法存在的问题，对红外与可见光图像融合技术的发展趋势进行展望。

Research progress of infrared and visible image fusion technology

Infrared and visible image fusion combines the infrared thermal radiation information and visible detail information. The image fusion technique has facilitated development in numerous fields, including production, life sciences, military surveillance and others, and has become a key research direction in the field of image technology. According to the core idea, fusion framework and research progress of image fusion methods, the fusion methods based on multi-scale transformation, sparse representation, neural network, etc. are elaborated and compared, and the application status of infrared and visible light image fusion in various fields and the commonly used the evaluation index. The most representative methods and evaluation indicators are selected and applied to six different scenes in order to verify the advantages and disadvantages of each one. Finally, the existing problems of infrared and visible image fusion methods are experimentally analyzed and summarized , the development prospects of infrared and visible image fusion technology are presented.