Thermal Image Super-Resolution Methods Using Neural Networks
Andrii Didenko, Аndrii Oliinyk, С. А. Субботин · 2023
Thermography has gained popularity in many fields.Since the human eye cannot see the thermal spectrum and in low light, thermal image analysis has become an integral part of medicine, manufacturing, construction, and other industries.Most thermal cameras produce low-resolution images when analyzing the temperature of objects, which complicates the process of analyzing original thermogram.Therefore, the problem of improving the quality of thermal images is relevant today.With the development of artificial intelligence and deep learning technologies, new super-resolution methods are emerging.Such methods can also be adapted for thermal image processing.This work examines the performance of modern superresolution methods in the thermal vision domain.