  Image Super-Resolution (SR) is essential for a wide range of computer vision
and image processing tasks. Investigating infrared (IR) image (or thermal
images) super-resolution is a continuing concern within the development of deep
learning. This survey aims to provide a comprehensive perspective of IR image
super-resolution, including its applications, hardware imaging system dilemmas,
and taxonomy of image processing methodologies. In addition, the datasets and
evaluation metrics in IR image super-resolution tasks are also discussed.
Furthermore, the deficiencies in current technologies and possible promising
directions for the community to explore are highlighted. To cope with the rapid
development in this field, we intend to regularly update the relevant excellent
work at \url{https://github.com/yongsongH/Infrared_Image_SR_Survey
