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 …

To obtain clean images with salient structures from noisy observations, a growing trend in
current denoising studies is to seek the help of additional guidance images with high signal …

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 …

Thermal imaging leveraging the infrared spectrum offers a compelling alternative to visible
spectrum (VIS) imagery in challenging environmental conditions like low-light occlusions …

Thermal cameras are an important tool for agricultural research because they allow for non-
invasive measurement of plant temperature which relates to important photochemical …

Image Super Resolution is a potential approach that can improve the image quality of low-
resolution optical sensors, leading to improved performance in various industrial …

Recent efforts have explored leveraging visible light images to enrich texture details in
infrared (IR) super-resolution. However, this direct adaptation approach often becomes a …

Multi-modal image fusion is widely used in various fields, especially in military, medical,
industrial detection and other fields. Image fusion can integrate redundant and …

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) …