Low-light image enhancement methods based on classic Retinex model attempt to
manipulate the estimated illumination and to project it back to the corresponding reflectance …

Scene recovery is a fundamental imaging task with several practical applications, including
video surveillance and autonomous vehicles, etc. In this article, we provide a new real-time …

Video and images acquired by a visual system are seriously degraded under hazy and
foggy weather, which will affect the detection, tracking, and recognition of targets. Thus …

Images captured in hazy environments need to be processed to increase their contrast and
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …

Influenced by glowing effects, nighttime haze removal is a challenging ill-posed task.
Existing nighttime dehazing methods usually result in glowing artifacts, color shifts …

Images captured in the sand–dust weather often suffer from serious colour cast and poor
contrast, and this has serious implications for outdoor computer vision systems. To address …

The images that are captured in sand storms often suffer from low contrast and serious color
cast that are caused by sand dust, and these issues will have significant negative effects on …

Images captured in extreme environments, including deep-earth, deep-sea, and deep-space
exploration sites, often suffer from significant degradation due to complex visual factors …

Scene recovery is a fundamental imaging task for several practical applications, eg, video
surveillance and autonomous vehicles, etc. To improve visual quality under different …

Scattering particles (such as water vapor and dust) in the atmosphere excessively absorb
and scatter light, which causes the image collected by imaging sensors with low visibility …