Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
Recent advances in image dehazing: Formal analysis to automated approaches
Images captured in hazy environments need to be processed to increase their contrast and
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …
Single image dehazing via fusion of multilevel attention network for vision-based measurement applications
Nowadays, researchers use vision-based measurement tools to record, detect, and monitor
an atmospheric phenomenon called haze. It impedes the proper functioning of many …
an atmospheric phenomenon called haze. It impedes the proper functioning of many …
A novel parameter adaptive dual channel MSPCNN based single image dehazing for intelligent transportation systems
Visibility issues in intelligent transportation systems are exacerbated by bad weather
conditions such as fog and haze. It has been observed from recent studies that major road …
conditions such as fog and haze. It has been observed from recent studies that major road …
A dual-channel dehaze-net for single image dehazing in visual Internet of Things using PYNQ-Z2 board
A large number of emerging applications, such as autonomous navigation, space
exploration, surveillance, military target detection, and remote sensing, use outdoor images …
exploration, surveillance, military target detection, and remote sensing, use outdoor images …
Physical-priors-guided DehazeFormer
Single-image dehazing is a challenging task in several machine-vision applications.
Methods based on physical models and prior knowledge fail under certain conditions …
Methods based on physical models and prior knowledge fail under certain conditions …
Improved RefineDNet algorithm for precise environmental perception of autonomous earthmoving machinery under haze and fugitive dust conditions
S Guan, J Wang, X Wang, B Zhang, H Liang - Advanced Engineering …, 2024 - Elsevier
Non-homogeneous haze and fugitive dust are frequently encountered at earthwork
construction sites, which can lead to errors and omissions in vision-based perception …
construction sites, which can lead to errors and omissions in vision-based perception …
Compensation Atmospheric Scattering Model and Two-Branch Network for Single Image Dehazing
Most existing dehazing networks rely on synthetic hazy-clear image pairs for training, and
thus fail to work well in real-world scenes. In this paper, we deduce a reformulated …
thus fail to work well in real-world scenes. In this paper, we deduce a reformulated …
Photo realistic synthetic dataset and multi-scale attention dehazing network
Deep learning is a powerful tool in the realm of low-level computer vision and has achieved
significant success in image dehazing. However, previous works have predominantly …
significant success in image dehazing. However, previous works have predominantly …
Single image fast dehazing based on haze density classification prior
Y Yang, J Zhang, Z Wang, H Zhang - Expert Systems with Applications, 2023 - Elsevier
Most of existing the dehazing methods have high computational complexity and poor
dehazing quality. Therefore, a fast haze removal method based on the haze density …
dehazing quality. Therefore, a fast haze removal method based on the haze density …