Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …

Compared with traditional imaging methods, polarization imaging has its unique advantages
in many directions and has great development prospects. It is one of the hot spots of …

Haze, a common kind of bad weather caused by atmospheric scattering, decreases the
visibility of scenes and degenerates the performance of computer vision algorithms. Single …

Single image dehazing has been a challenging problem because of its ill-posed nature. For
this reason, numerous efforts have been made in the field of haze removal. This paper …

Many dehazing methods have proven to be effective in removing haze out of the hazy
image, but few of them are adaptive in handling the dense haze. In this paper, based on the …

Image fusion is the key step to improve the performance of object detection in polarization
images. We propose an unsupervised deep network to address the polarization image …

Underwater imaging provides human vision system friendly images; however, it often suffers
from severe image degradation. This research developed an underwater polarization …

Currently, most underwater polarization imaging methods assume that the backscattering is
polarized and the reflected light of the target is unpolarized. In reality, this assumption is …

This paper presents an algorithm to improve images with hazing effects. Usually, the
dehazing methods based on the dark channel prior make use of two different stages to …

Circular polarization memory is a well-known phenomenon indicating that the circular
polarization light can persist better its polarization property during propagating through …