Poor weather conditions, such as fog, haze, and mist, cause visibility degradation in
captured images. Existing imaging devices lack the ability to effectively and efficiently …

Haze can seriously affect the visible and visual quality of outdoor images. As a challenge in
practice, image dehazing techniques are always used to remove haze from the captured …

Aerial imagery is widely utilized in visual data dependent applications such as military
surveillance, earthquake assessment, etc. For these applications, minute texture in the aerial …

Image acquisition is usually vulnerable to bad weathers, like haze, fog and smoke. Haze
removal, namely dehazing has always been a great challenge in many fields. This paper …

Given the impressive achievement of convolutional neural networks (CNNs) in grasping
image priors from extensive datasets, they have been widely utilized for tasks related to …

Weather conditions such as haze, mist, and fog can degrade the image clarity in outdoor
scenes. Although various image dehazing techniques exist in the literature, it is very …

In this paper, we propose an improved model for image decomposition and denoising based
on Shearlet and nonlocal data fidelity term. The model splits an image into three parts: the …

The demand for high quality aerial images is pressing because of their diverse applications
in aircraft navigation, geological analysis, military reconnaissance, cartography, and other …

This study is about the basic problem of VLPR in foggy and hazy conditions. It presents a
new method for increasing vehicle license plate recognition in harsh weather by merging …

A new image enhancement algorithm employing guided filtering is proposed in this work for
enhancement of solar images and videos, so that users can easily figure out important fine …