Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning
Stable imaging in adverse environments (eg, total darkness) makes thermal infrared (TIR)
cameras a prevalent option for night scene perception. However, the low contrast and lack of …
cameras a prevalent option for night scene perception. However, the low contrast and lack of …
StawGAN: Structural-aware generative adversarial networks for infrared image translation
L Sigillo, E Grassucci… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper addresses the problem of translating night-time thermal infrared images, which
are the most adopted image modalities to analyze night-time scenes, to daytime color …
are the most adopted image modalities to analyze night-time scenes, to daytime color …
Memory-guided collaborative attention for nighttime thermal infrared image colorization
Nighttime thermal infrared (NTIR) image colorization, also known as translation of NTIR
images into daytime color images (NTIR2DC), is a promising research direction to facilitate …
images into daytime color images (NTIR2DC), is a promising research direction to facilitate …
MUGAN: thermal infrared image colorization using mixed-skipping UNet and generative adversarial network
H Liao, Q Jiang, X Jin, L Liu, L Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Common cameras cannot capture high quality image in the night or extreme weather
conditions that without enough light, while thermal infrared (TIR) cameras are not limited in …
conditions that without enough light, while thermal infrared (TIR) cameras are not limited in …
A Conditional GAN Architecture for Colorization of Thermal Infrared Images
The applicability of visible spectrum cameras is limited to nighttime and extreme weather
conditions. To overcome these limitations, infrared (IR) cameras were introduced, but their …
conditions. To overcome these limitations, infrared (IR) cameras were introduced, but their …