Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …

Hazy images captured under ill-posed scenarios with scattering medium (ie haze, fog, or
smoke) are contaminated in visibility. Inevitably, these images are further degraded by …

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 haze removal is challenging due to its ill-posed nature. The breadth of real-
world scenarios makes it difficult to find an optimal dehazing approach that works well for …

Single image dehazing is a critical problem in computer vision. However, most recently
proposed learning-based dehazing methods achieve unsatisfactory quality with dehazed …

A demand for division of focal plane (DoFP) polarization imaging technology grows rapidly
as nanofabrication technologies become mature. For real-time polarization imaging, a DoFP …

Single image dehazing is a challenging and ill-posed problem due to severe information
degeneration of images captured in hazy conditions. Remarkable progresses have been …

Polarimetric imaging is an effective way for clear vision in water, in which deducing the
object radiance in clear water from the obtained polarimetric information in turbid water is …

Underwater captured images often suffer from poor visibility caused by two major
degradations: scattering and absorption. In this paper, we propose a hybrid framework for …

Polarization image fusion is the process of fusing an intensity image and a polarization
parameter image solved by Stokes vector into a more detailed image. Conventional …