Image fusion has emerged as a major area of research in the past few decades due to its extended applications. While progressing in the field of image fusion, a large number of techniques-based image transforms and spatial filters have been devised for both general and specific sets of images. The primary criterion of image fusion technique is to deliver high-quality visual perception besides giving a considerable objective evaluation rate. In this study, an information fusion rate-based study is done on recent, most researched, and high-performing state-of-the-art techniques using visible and infrared image datasets. These techniques have been chosen carefully, owing to their superiority in performance on both objective and subjective scales of evaluation and have been discussed in terms of their respective advantages and disadvantages. It is clearly evident that some rather primitive techniques can perform well as well as techniques based on a hybrid of various domains can significantly boost the information fusion rate.

中文翻译：

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从金字塔到最先进的技术：可见红外图像融合技术的研究和全面比较

图像融合由于其广泛的应用而在过去的几十年中已成为研究的主要领域。随着图像融合领域的发展，已经针对通用和特定图像集设计了许多基于技术的图像变换和空间滤波器。图像融合技术的主要标准是除了提供相当高的客观评估率外，还应提供高质量的视觉感知。在这项研究中，基于信息融合率的研究是使用可见光和红外图像数据集，对最近，研究最多，性能最先进的技术进行的。由于这些技术在客观和主观评估规模上均具有优越的性能，因此已对其进行了仔细的选择，并针对它们各自的优缺点进行了讨论。