The requirement for paired shadow and shadow-free images limits the size and diversity of
shadow removal datasets and hinders the possibility of training large-scale, robust shadow …

We present a framework to automatically detect and remove shadows in real world scenes
from a single image. Previous works on shadow detection put a lot of effort in designing …

Image dehazing deals with the removal of undesired loss of visibility in outdoor images due
to the presence of fog. Retinex is a color vision model mimicking the ability of the Human …

We present a practical framework to automatically detect shadows in real world scenes from
a single photograph. Previous works on shadow detection put a lot of effort in designing …

Outdoor images taken in haze usually exhibit contrast reduction, color distortion, and detail
loss. Removing the haze from a given image is a tough issue owing to its highly ill-posed …

This work presents a method to automatically detect and remove shadows in urban aerial
images and its application in an aerospace remote monitoring system requiring near real …

Recently, a number of image dehazing methods are developed based on dark channel prior
which is simple yet effective. In order to compensate for any failure on the use of dark …

In this paper, we propose a novel framework to jointly recover the illumination environment
and an estimate of the cast shadows in a scene from a single image, given coarse 3D …

The objective of this work is to detect shadows in images. We pose this as the problem of
labeling image regions, where each region corresponds to a group of superpixels. To …

To address the negative impacts of image degradation on vision measurement in hazy
tunnel construction, this paper presents a unified enhancement method of color and …