Optimized contrast enhancement for real-time image and video dehazing
A fast and optimized dehazing algorithm for hazy images and videos is proposed in this
work. Based on the observation that a hazy image exhibits low contrast in general, we …
work. Based on the observation that a hazy image exhibits low contrast in general, we …
Deep video dehazing with semantic segmentation
Recent research have shown the potential of using convolutional neural networks (CNNs) to
accomplish single image dehazing. In this paper, we take one step further to explore the …
accomplish single image dehazing. In this paper, we take one step further to explore the …
Learning to restore hazy video: A new real-world dataset and a new method
Most of the existing deep learning-based dehazing methods are trained and evaluated on
the image dehazing datasets, where the dehazed images are generated by only exploiting …
the image dehazing datasets, where the dehazed images are generated by only exploiting …
Video adverse-weather-component suppression network via weather messenger and adversarial backpropagation
Although convolutional neural networks (CNNs) have been proposed to remove adverse
weather conditions in single images using a single set of pre-trained weights, they fail to …
weather conditions in single images using a single set of pre-trained weights, they fail to …
Benchmarking the robustness of spatial-temporal models against corruptions
The state-of-the-art deep neural networks are vulnerable to common corruptions (eg, input
data degradations, distortions, and disturbances caused by weather changes, system error …
data degradations, distortions, and disturbances caused by weather changes, system error …
Lrnet: lightweight recurrent network for video dehazing
VM Galshetwar, PW Patil, S Chaudhary - Signal, Image and Video …, 2023 - Springer
The presence of hazy particles affects visibility and disturbs the color balance in the
captured videos. Thus, video dehazing is a challenging pre-processing step for high-level …
captured videos. Thus, video dehazing is a challenging pre-processing step for high-level …
Cross-stage recurrent feature sharing network for video dehazing
Hazy weather conditions feed serious haze effects, such as color and visibility degradations
in the captured videos. Extensive research on video dehazing has been carried out …
in the captured videos. Extensive research on video dehazing has been carried out …
Deep video dehazing
Haze is a major problem in videos captured in outdoors. Unlike single-image dehazing,
video-based approaches can take advantage of the abundant information that exists across …
video-based approaches can take advantage of the abundant information that exists across …
Dehazing of color image using stochastic enhancement
S Bhattacharya, S Gupta… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Images captured in presence of fog, haze or snow usually suffer from poor contrast and
visibility. In this paper we propose a novel dehazing method to increase visibility from a …
visibility. In this paper we propose a novel dehazing method to increase visibility from a …
Single frame-based video dehazing with adversarial learning
VM Galshetwar, PW Patil, S Chaudhary - International Conference on …, 2021 - Springer
Hazy environmental conditions degrade the quality of captured videos which leads to poor
visibility and color distortion in videos. Such deterioration of captured video quality is mainly …
visibility and color distortion in videos. Such deterioration of captured video quality is mainly …