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Attention guided low-light image enhancement with a large scale low-light simulation dataset
Low-light image enhancement is challenging in that it needs to consider not only brightness
recovery but also complex issues like color distortion and noise, which usually hide in the …
recovery but also complex issues like color distortion and noise, which usually hide in the …
Non-contact heart rate estimation via adaptive rgb/nir signal fusion
We propose a non-contact heart rate (HR) estimation method that is robust to various
situations, such as bright, low-light, and varying illumination scenes. We utilize a camera that …
situations, such as bright, low-light, and varying illumination scenes. We utilize a camera that …
An integrated enhancement solution for 24-hour colorful imaging
The current industry practice for 24-hour outdoor imaging is to use a silicon camera
supplemented with near-infrared (NIR) illumination. This will result in color images with poor …
supplemented with near-infrared (NIR) illumination. This will result in color images with poor …
A lightweight image entropy-based divide-and-conquer network for low-light image enhancement
Images captured in low-light conditions usually suffer from degradation problems. Based on
the observation, we found that different image regions have different enhancement …
the observation, we found that different image regions have different enhancement …
Convolutional neural network training for rgbn camera color restoration using generated image pairs
Z Han, L Li, W **, X Wang, G Jiao… - IEEE Photonics …, 2020 - ieeexplore.ieee.org
RGBN cameras that can capture visible light and near-infrared (NIR) light simultaneously
produce better color image quality in low-light-level conditions. However, these RGBN …
produce better color image quality in low-light-level conditions. However, these RGBN …
Nonlinear regression color correction method for RGBN cameras
Z Han, W **, L Li, X Wang, X Bai, H Wang - IEEE Access, 2020 - ieeexplore.ieee.org
With the development of multi-spectral imaging techniques, many new multi-spectral
imaging devices have been developed in recent years. Red-green-blue and near-infrared …
imaging devices have been developed in recent years. Red-green-blue and near-infrared …
Multi-frame RGB/NIR imaging for low-light color image super-resolution
T Honda, D Sugimura… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We propose a method for super-resolution (SR) of low-resolution (LR) color images taken in
low-light scenes. Our method is based on the multi-frame SR technique, which reconstructs …
low-light scenes. Our method is based on the multi-frame SR technique, which reconstructs …
Advances in robots trajectories learning via fast neural networks
This is a provisional file, not the final typeset article FIGURE 1 A robot trajectory The paper
titled" Using Long Short-Term Memory for Building Outdoor Agricultural Machinery" by Chien …
titled" Using Long Short-Term Memory for Building Outdoor Agricultural Machinery" by Chien …
Low-light color image super-resolution using rgb/nir sensor
T Honda, T Hamamoto… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
We propose a method for super-resolution (SR) of low-resolution (LR) color images taken in
low-light scenes. Our method is based on multi-frame SR technique, which fuses multiple LR …
low-light scenes. Our method is based on multi-frame SR technique, which fuses multiple LR …
The Analysis of trajectory control of non-holonomic mobile robots based on internet of things target image enhancement technology and backpropagation neural …
L Zhao, G Wang, X Fan, Y Li - Frontiers in Neurorobotics, 2021 - frontiersin.org
The trajectory tracking and control of incomplete mobile robots are explored to improve the
accuracy of the trajectory tracking of the robot controller. First, the mathematical kinematics …
accuracy of the trajectory tracking of the robot controller. First, the mathematical kinematics …