Images captured through a visual sensory system are degraded in a foggy scene, which
negatively influences recognition, tracking, and detection of targets. Efficient tools are …

Most haze removal methods fail to restore long-shot images naturally, especially for the sky
region. To solve this problem, we proposed a Fusion of Luminance and Dark Channel Prior …

In this paper, we propose an improved atmospheric scattering model (IASM) to overcome
the inherent limitation of the traditional atmospheric scattering model. Based on the IASM, a …

Video dehazing using deep-learning based methods has just received increasing attention
in recent years. However, most existing methods tackle temporal consistency in the color …

Research and development on dehazing algorithms have come a long way and the current
algorithms work very efficiently in generating clear dehazed images, restoring the images …

To solve the issue of video dehazing, there are two main tasks to attain: how to align
adjacent frames to the reference frame; how to restore the reference frame. Some papers …

In this paper, we propose a single image dehazing method aiming at addressing the
inherent limitations of the extensively employed dark channel prior (DCP). More concretely …

This paper proposes a single image dehazing prior, called Regional Saturation-Value
Translation (RSVT), to tackle the color distortion problems caused by conventional dehazing …

Foggy days pose many difficulties for outdoor camera surveillance systems. On foggy days,
the optical attenuation and scattering effects of the medium significantly distort and …

The process of image dehazing is known to have a significant impact in the field of computer
vision. It has been found to have practical applications in various real-world scenarios, such …