Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …

The visibility of outdoor images is greatly degraded due to the presence of fog, haze, smog
etc. The poor visibility may cause the failure of computer vision applications such as …

In this paper, we address a haze removal problem from a single nighttime image, even in the
presence of varicolored and non-uniform illumination. The core idea lies in a novel …

To address the hazy weather image degradation problem, we propose a single image
dehazing method based on a physical model and the brightness components of the image …

We propose a single image dehazing method that is based on a physical model and the
dark channel prior principle. The selection of an atmospheric light value is directly …

Low light often leads to poor image visibility, which can easily affect the performance of
computer vision algorithms. First, this paper proposes the absorption light scattering model …

Single image de-fogging has been a confronting problem due to its ill-posed nature. In this
paper, a de-fogging technique based upon color attenuation prior (CAP) has been …

The authors propose a novel and efficient method for single image dehazing. To accelerate
the transmission estimation process, a block‐to‐pixel interpolation method is used for fine …

Haze reduces the visibility of outdoor images. The majority of existing dehazing techniques
perform poorly whenever objects are similar to airlight, and no shadow is cast on them. Also …

The visibility of remote sensing images taken in poor environmental conditions is often
degraded due to the occurrence of fog, haze, mist, and smog. To restore these images …