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 …

The ability of thermal sensors to penetrate smoke, mist, dust and aerosol makes them
attractive for deployment in essential applications in military, medical, agricultural and …

This paper proposes a novel CycleGAN architecture for thermal image super-resolution,
together with a large dataset consisting of thermal images at different resolutions. The …

The infrared image super-resolution (SR) method successfully overcomes the hardware
limitations of infrared cameras that reconstruct higher-quality images with improved …

Human perception is limited to perceive the objects beyond the range of visible wavelengths
in the Electromagnetic (EM) spectrum. This prevents them to recognize objects in different …

In this survey, we compile a list of publicly available infrared image and video sets for
artificial intelligence and computer vision researchers. We mainly focus on IR image and …

Infrared sensors capture infrared rays radiated by objects to form thermal images. They have
a steady ability to penetrate smoke and fog, and are widely used in security monitoring …

Thermal imaging systems are harmless to human health and enable contactless heat
measurements. The thermal cameras are used in many public sectors where it is necessary …

A high-resolution thermal camera is very expensive and is thus difficult to be used.
Furthermore, thermal images become blurred in various cases of object motion, camera …

Biological experiments based on organ-on-chips (OOCs) exploit light Time-Lapse
Microscopy (TLM) for a direct observation of cell movement that is an observable signature …