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 …
Visibility enhancement and fog detection: Solutions presented in recent scientific papers with potential for application to mobile systems
RC Miclea, VI Ungureanu, FD Sandru, I Silea - Sensors, 2021 - mdpi.com
In mobile systems, fog, rain, snow, haze, and sun glare are natural phenomena that can be
very dangerous for drivers. In addition to the visibility problem, the driver must face also the …
very dangerous for drivers. In addition to the visibility problem, the driver must face also the …
Single image defogging using deep learning techniques: past, present and future
Image dehazing play a vital role in several applications related to computer vision. The
prime motive of this paper is to provide the overview of the existing deep learning algorithms …
prime motive of this paper is to provide the overview of the existing deep learning algorithms …
A deep learning approach for underwater image enhancement
Image processing in underwater robotics is one of the most challenging problems in
autonomous underwater robotics due to light transmission in water. Although image …
autonomous underwater robotics due to light transmission in water. Although image …
A transfer learning method for meteorological visibility estimation based on feature fusion method
Featured Application The method in this paper aims to select effective subregions, reduce
the amount of calculation and maintain the accuracy of visibility estimation. Abstract …
the amount of calculation and maintain the accuracy of visibility estimation. Abstract …
[HTML][HTML] Recovering depth from still images for underwater dehazing using deep learning
Estimating depth from a single image is a challenging problem, but it is also interesting due
to the large amount of applications, such as underwater image dehazing. In this paper, a …
to the large amount of applications, such as underwater image dehazing. In this paper, a …
Experimental evaluation of pso based transfer learning method for meteorological visibility estimation
Estimation of Meteorological visibility from image characteristics is a challenging problem in
the research of meteorological parameters estimation. Meteorological visibility can be used …
the research of meteorological parameters estimation. Meteorological visibility can be used …
Smart solution to detect images in limited visibility conditions based convolutional neural networks
Decrease in visibility causes many difficulties in vision, tracking. Current classic object
detection techniques do not give satisfying results in less visibility. It is essential to detect …
detection techniques do not give satisfying results in less visibility. It is essential to detect …
DHCNN for visibility estimation in foggy weather conditions
A Palvanov, Y Im Cho - … and intelligent systems (SCIS) and 19th …, 2018 - ieeexplore.ieee.org
This paper proposes a new method to estimate visibility range in strong foggy weather
conditions on a basis of the Deep Hybrid Convolutional Neural Network (DHCNN). Our …
conditions on a basis of the Deep Hybrid Convolutional Neural Network (DHCNN). Our …
Single Image Dehazing Using Hybrid Convolution Neural Network
Due to the dispersion of atmospheric particles, the quality of the image becomes inferior.
The quality of the frames captured in poor weather conditions such as fog, smog, and haze …
The quality of the frames captured in poor weather conditions such as fog, smog, and haze …