A comprehensive review on analysis and implementation of recent image dehazing methods
SC Agrawal, AS Jalal - Archives of Computational Methods in Engineering, 2022 - Springer
Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …
单幅图像去雾算法研究综述.
郑凤仙, 王夏黎, 何丹丹, 李妮妮… - Journal of Computer …, 2022 - search.ebscohost.com
随着图像处理技术和计算机视觉技术的蓬勃发展, 对特殊天气下的场景检测和图像处理成为该
领域的重要研究方向. 其中在雾天拍摄的图像容易受雾或霾的影响, 导致图片细节模糊 …
领域的重要研究方向. 其中在雾天拍摄的图像容易受雾或霾的影响, 导致图片细节模糊 …
Image smog restoration using oblique gradient profile prior and energy minimization
Removing the smog from digital images is a challenging pre-processing tool in various
imaging systems. Therefore, many smog removal (ie, desmogging) models are proposed so …
imaging systems. Therefore, many smog removal (ie, desmogging) models are proposed so …
Haze removal: Push DCP at the edge
Y Yang, Z Wang - IEEE signal processing letters, 2020 - ieeexplore.ieee.org
In the task of haze scene restoration, dark channel prior is the most convincing theory. Its
biggest contribution is to introduce the concept of dark channel map, which is convenient for …
biggest contribution is to introduce the concept of dark channel map, which is convenient for …
Improved dark channel prior for image defogging using RGB and YCbCr color space
Environmental factors such as fog and haze affect the image quality and make it unsuitable
for automated systems, such as intelligent vehicles, surveillance, and outdoor object …
for automated systems, such as intelligent vehicles, surveillance, and outdoor object …
Deep neural network-based robust ship detection under different weather conditions
X Nie, M Yang, RW Liu - 2019 IEEE Intelligent Transportation …, 2019 - ieeexplore.ieee.org
Deep learning-based object detection has recently received significant attention among
scholars and practitioners. However, the acquired images often suffer from visual quality …
scholars and practitioners. However, the acquired images often suffer from visual quality …
Single image haze removal with haze map optimization for various haze concentrations
B Ganguly, A Bhattacharya, A Srivastava… - … on Circuits and …, 2021 - ieeexplore.ieee.org
Hazy images suffer from poor visibility and possess low-contrast, degrading the visibility of
the scene. The performance of single-image haze removal methods is limited by priors or …
the scene. The performance of single-image haze removal methods is limited by priors or …
Variational single image dehazing for enhanced visualization
In this paper, we investigate the challenging task of removing haze from a single natural
image. The analysis on the haze formation model shows that the atmospheric veil has much …
image. The analysis on the haze formation model shows that the atmospheric veil has much …
Efficient method and architecture for real-time video defogging
R Kumar, R Balasubramanian… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Real-time video defogging has a huge demand in intelligent transportation, advanced driver
assistance systems (ADAS), long-range surveillance, autonomous aerial vehicles and …
assistance systems (ADAS), long-range surveillance, autonomous aerial vehicles and …
UAV remote sensing image dehazing based on double-scale transmission optimization strategy
K Zhang, S Ma, R Zheng… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Current dehazing methods for unmanned aerial vehicle (UAV) remote sensing images often
have texture detail loss and color distortion problems, especially in highlighted regions. This …
have texture detail loss and color distortion problems, especially in highlighted regions. This …