In recent years, RGB-T salient object detection (SOD) has attracted continuous attention,
which makes it possible to identify salient objects in environments such as low light by …

Due to the wavelength-dependent light absorption and scattering, the raw underwater
images are usually inevitably degraded. Underwater image enhancement (UIE) is of great …

Due to the light absorption and scattering induced by the water medium, underwater images
usually suffer from some degradation problems, such as low contrast, color distortion, and …

For the video salient object detection (VSOD) task, how to excavate the information from the
appearance modality and the motion modality has always been a topic of great concern. The …

Various vision-based tasks suffer from inaccurate navigation and poor performance due to
inevitable problems, such as adverse weather conditions like haze, fog, rain, snow, and …

Image dehazing is a fundamental low-level vision task and has gained increasing attention
in the computer community. Most existing learning-based methods achieve haze removal by …

The investigation of image deblurring techniques in dynamic scenes represents a prominent
area of research. Recently, deep learning technology has gained extensive traction within …

Learning-based methods for underwater image enhancement (UWIE) have undergone
extensive exploration. However, learning-based models are usually vulnerable to …

In order to recover as many valuable details from input hazy images as possible during the
process of dehazing, this paper proposes a variational model with edge enhancement …

Image dehazing enhances its quality by restoring the actual pixels influenced by poor light
and intensity due to environmental and other factors. Hazy images are rectified to improve …