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 …

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 …

Due to the selective attenuation of light in water, captured underwater images exhibit poor
visibility and cause considerable challenges for vision tasks. The structural and statistical …

This paper develops a Bayesian retinex algorithm for enhancing single underwater image
with multiorder gradient priors of reflectance and illumination. First, a simple yet effective …

Underwater captured images are usually degraded by low contrast, hazy, and blurry due to
absorbing and scattering, which limits their analyses and applications. To address these …

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 …

Image analysis took wide areas in many fields, including medicine, physics, and other areas
where you need a tool to deal with it smoothly and softly without losing the original image …

Hazy images captured under ill-posed scenarios with scattering medium (ie haze, fog, or
smoke) are contaminated in visibility. Inevitably, these images are further degraded by …

Haze usually causes severe interference to image visibility. Such degradation on images
troubles both human observers and computer vision systems. To seek high-quality images …

Model-based single image dehazing was widely studied due to its extensive applications.
Ambiguity between object radiance and haze and noise amplification in sky regions are two …