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 …

Images captured in hazy environments need to be processed to increase their contrast and
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …

In this work, a single image dehazing method that improves the haze removal capacity of the
Joint Contrast Enhancement and Exposure Fusion (CEEF) method with Smoothing …

Underwater images regularly exhibit color deviation and low contrast attributed to
attenuation and scattering associated with wavelength and distance. For solving these two …

The majority of existing physical model-based dehazing algorithms have problems,
including color distortion and halo effects, when restoring hazy outdoor scenes that often …

Low-lighting is a common condition in data collection due to environmental restrictions.
However, high-level pattern recognition tasks such as object detection require the datasets …

Abstract Information about the earth's surface is difficult to capture in remote sensing images
because bad weather greatly curtails visibility and diminishes visual contrast in the images …

Haze, generated by floaters (semitransparent clouds, fog, snow, etc.) in the atmosphere, can
significantly degrade the utilization of remote sensing images (RSIs). However, the existing …

Image harmonization aims to address inharmony between the foreground and background
of composite images. Current methods mainly adopt the encoder-decoder reconstruction …

Image dehazing is a pivotal preliminary step in the advancement of robust intelligent
surveillance system. However, it is an extremely challenging ill-posed problem, as it faces …