Adverse weather conditions such as fog, haze, snow, mist and glare create visibility
problems for applications of autonomous vehicles. To ensure safe and smooth operations in …

The natural and artificial dispersal of climatic particles transforms images obtained in open-
air conditions. Due to visibility diminishing aerosols, unfavorable climate situations such as …

In order to solve the problem of image degradation in foggy weather, a single image
defogging method based on a multi-scale retinex with color restoration (MSRCR) of multi …

Vision-based systems operating outdoors are significantly affected by weather conditions,
notably those related to atmospheric turbidity. Accordingly, haze removal algorithms, actively …

Apples are one of the most kind of important fruit in the world. China has been the largest
apple producing country. Yield estimating, robot harvesting, precise spraying are important …

Haze removal is an ill-posed problem that has attracted much scientific interest due to its
various practical applications. Existing methods are usually founded upon various priors; …

In recent years, machine vision algorithms have played an influential role as core
technologies in several practical applications, such as surveillance, autonomous driving …

To solve the problem that traditional dark channel is not suitable for a large sky area and can
easyily distort defogged images, we propose a novel fusion-based defogging algorithm …

Images captured under varying light conditions have deficient contrast, low brightness, latent
colors, and high noise. Numerous methods have been developed for image enhancement …

Imaging of unmanned aerial vehicle easily suffer from haze, resulting in decline in the
quality of required remote sensing images. The influence brings great challenges in later …