Edge detection is the basis of many computer vision applications. State of the art
predominantly relies on deep learning with two decisive factors: dataset content and network …

Most high-level computer vision tasks rely on low-level image operations as their initial
processes. Operations such as edge detection, image enhancement, and super-resolution …

Thermal imaging has numerous advantages over regular visible-range imaging since it
performs well in low-light circumstances. Super-Resolution approaches can broaden their …

Guided image processing techniques are widely used to extract meaningful information from
a guiding image and facilitate the enhancement of the guided one. This paper specifically …

Unmanned aerial vehicle (UAV) thermal-imaging has received much attention, but the
insufficient image resolution caused by thermal imaging systems is still a crucial problem …

Due to the limitations and costs of thermal sensors, unmanned aerial vehicle (UAV)
platforms often equip with high-resolution (HR) visible imaging and low-resolution (LR) …

While thermal imaging technology on unmanned aerial vehicles (UAVs) has made
significant progress, the widespread issue of insufficient resolution poses a serious …

Optics-guided Thermal UAV image Super-Resolution (OTUAV-SR) has attracted significant
research interest due to its potential applications in security inspection, agricultural …

This work proposes a novel approach that integrates super-resolution techniques with off-
the-shelf object detection methods to tackle the problem of handling very low-resolution …

Guided image processing techniques are widely used for extracting information from a
guiding image to aid in the processing of the guided one. These images may be sourced …