A comprehensive survey and taxonomy on single image dehazing based on deep learning
With the development of convolutional neural networks, hundreds of deep learning–based
dehazing methods have been proposed. In this article, we provide a comprehensive survey …
dehazing methods have been proposed. In this article, we provide a comprehensive survey …
PMS-net: Robust haze removal based on patch map for single images
In this paper, we proposed a novel haze removal algorithm based on a new feature called
the patch map. Conventional patch-based haze removal algorithms (eg the Dark Channel …
the patch map. Conventional patch-based haze removal algorithms (eg the Dark Channel …
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 …
T-net: Deep stacked scale-iteration network for image dehazing
Haze reduces the visibility of image content and leads to failure in handling subsequent
computer vision tasks. In this paper, we address the problem of single image dehazing by …
computer vision tasks. In this paper, we address the problem of single image dehazing by …
Single image defogging with a dual multiscale neural network model
Y Wang, X Li - Signal, Image and Video Processing, 2023 - Springer
Images captured by image acquisition systems in scenes with fog or haze contain missing
details, dull color, and reduced brightness. To address this problem, the dual multiscale …
details, dull color, and reduced brightness. To address this problem, the dual multiscale …
Single image dehazing using attention layers in convolutional neural networks
A hazy image is characterized by atmospheric conditions that reduce the image's clarity and
contrast, thereby making it less visible. This degradation in image quality can hinder the …
contrast, thereby making it less visible. This degradation in image quality can hinder the …
Vision Enhancement of Single Foggy Image using CNN
P Pandey, R Gupta, N Goel - 2022 4th International …, 2022 - ieeexplore.ieee.org
Fog removal from a single foggy scene is a tedious piece of work. Some of the existing
methodologies are based on various constraints and assumptions to evaluate fog free …
methodologies are based on various constraints and assumptions to evaluate fog free …