Single image dehazing is a challenging vision task that recovers haze-free images from
observed hazy images. Recently, numerous learning-based dehazing methods have been …

Single image dehazing is a challenging computer vision task for other high-level
applications, eg, object detection, navigation, and positioning systems. Recently, most …

Single image dehazing, as a key prerequisite of high-level computer vision tasks, catches
more and more attentions. Traditional model-based methods recover haze-free images via …

Single image dehazing is a challenging ill-posed problem due to the severe information
degeneration. However, existing deep learning based dehazing methods only adopt clear …

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 …

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 …

Image dehazing aims to restore the missing high-quality content from its original hazy
observation. Most of the existing learning-based methods achieve promising achievements …

Since haze degrades an image including contrast decreasing and color lost, which has a
negative effect on the subsequent object detection and recognition. single image dehazing …

The learning-based methods have recently shown their advantages in the image dehazing
task. However, most existing learning-based methods do not pay much attention to the …

Recent years have witnessed remarkable progress of learning-based methods in single
image dehazing. Among them, dehazing methods trained on the synthetic images cannot …