This work aims to determine the most suitable technique for dermoscopy image
augmentation to improve the performance of lesion classifications. Also, a new …

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 …

Recently, numerous sand dust removal algorithms have been proposed. To our best
knowledge, however, most methods evaluated their performance in a no-reference way …

In sand-dust environments, the low quality of images captured outdoors adversely affects
many remote-based image processing and computer vision systems, because of severe …

Image dedusting has gained increasing attention as a preprocessing step for computer
vision tasks. Current traditional image dedusting methods rely on a variety of constraints or …

In the dusty weather, the suspended sand particles in the air lead to various degrees of
degradation for the captured images. Commonly, severe color deviations, low contrast, and …

Sand-dust videos obtained in a low-light environment are characterized by low contrast,
nonuniform illumination, color cast, and considerable noise. To realize sand-dust removal …

Since dust particles in the air scatter and absorb light, images captured in sand-dust weather
mostly show low contrast, color deviation and blurriness, seriously affecting the reliability of …

Sandstorm is a meteorological phenomenon common in arid and semi-arid regions. A
sandstorm can carry large volumes of sand unexpectedly, which leads to severe color …

Images captured in dusty environments suffering from poor visibility and quality.
Enhancement of these images such as sand dust images plays a critical role in various …