Infrared (IR) images are widely used in many fields such as medical imaging, object tracking, astronomy and military purposes for securing borders. Infrared images can be captured day or night based on the type of capturing device. The capturing devices use electromagnetic radiation with longer wavelengths. There are several types of IR radiation based on the range of wavelength and corresponding frequency. Due to noising and other artifacts, IR images are not clearly visible. In this paper, we present a complete up-todate survey on IR imaging enhancement techniques. The survey includes IR radiation types and devices and existing IR datasets. The survey covers spatial enhancement techniques, frequency-domain based enhancement techniques and Deep learning-based techniques.

翻译：红外线图像在许多领域广泛使用,如医学成像、物体跟踪、天文学和军事目的,以保障边界安全;红外图像可根据捕获装置的类型日夜拍摄;捕获装置使用波长较长的电磁辐射;根据波长和相应频率的范围,有几种IR辐射类型;由于噪音和其他文物,IR图像不明显可见;在本文件中,我们介绍了关于IR成像增强技术的最新全面调查;调查包括IR辐射类型和装置以及现有的IR数据集;调查包括空间增强技术、基于频率的增强技术和深学习技术。