Remote sensing data fusion with generative adversarial networks: State-of-the-art methods and future research directions
In the past decades, remote sensing (RS) data fusion has always been an active research
community. A large number of algorithms and models have been developed. Generative …
community. A large number of algorithms and models have been developed. Generative …
Light-DehazeNet: a novel lightweight CNN architecture for single image dehazing
Due to the rapid development of artificial intelligence technology, industrial sectors are
revolutionizing in automation, reliability, and robustness, thereby significantly increasing …
revolutionizing in automation, reliability, and robustness, thereby significantly increasing …
Image dehazing via enhancement, restoration, and fusion: A survey
Haze usually causes severe interference to image visibility. Such degradation on images
troubles both human observers and computer vision systems. To seek high-quality images …
troubles both human observers and computer vision systems. To seek high-quality images …
A review on remote sensing data fusion with generative adversarial networks (GAN)
P Liu - Authorea Preprints, 2021 - techrxiv.org
In the past decades, remote sensing (RS) data fusion has always been an active research
community. A large number of algorithms and models have been developed. Generative …
community. A large number of algorithms and models have been developed. Generative …
Scene-Adaptive Real-Time Fast Dehazing and Detection in Driving Environment
N Lyu, J Zhao, P Liu, L Li, Y He, T Su… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Real-time and effective dehazing is crucial to ensure safe and smooth operations of driving
in foggy conditions. In this paper, a novel vision-based scene-adaptive real-time dehazing …
in foggy conditions. In this paper, a novel vision-based scene-adaptive real-time dehazing …
FIBS-Unet: feature integration and block smoothing network for single image dehazing
MH Sheu, SMS Morsalin, SH Wang, YT Shen… - IEEE …, 2022 - ieeexplore.ieee.org
The dehazing algorithms are based on the hazy simulation equation to remove haze and
restore the input image feature maps by estimating the intensity coefficient of the …
restore the input image feature maps by estimating the intensity coefficient of the …
Dark-channel soft-constrained and object-perception-enhanced deep dehazing networks used for road inspection images
H Wu, T Gao, Z Ji, M Song, L Zhang, D Kong - Sensors, 2023 - mdpi.com
Haze seriously affects the visual quality of road inspection images and contaminates the
discrimination of key road objects, which thus hinders the execution of road inspection work …
discrimination of key road objects, which thus hinders the execution of road inspection work …
Single image desmoking via attentive generative adversarial network for smoke detection process
Smoke removal has been a challenging problem which refers to the process of retrieving
clear images from the smoky ones. It has an extensive demand while the performances of …
clear images from the smoky ones. It has an extensive demand while the performances of …
Single image dehazing enhancement based on retinal mechanism
L Lei, ZF Cai, YL Fan - Multimedia Tools and Applications, 2024 - Springer
Based on the hierarchical transmission and interaction response characteristics of visual
information in retina, we propose a single image dehazing enhancement computational …
information in retina, we propose a single image dehazing enhancement computational …
Computationally Efficient CNN Based Smart Dehaze Net for Haze Removal of Biomedical Images
KS Biju, MS Sravan - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Artificial Intelligence has made significant strides recently especially in the field of computer
vision. It played a pivotal role in revolutionising the automation, reliability and robustness of …
vision. It played a pivotal role in revolutionising the automation, reliability and robustness of …