Image dehazing is always a hot topic in the field of computer vision since haze has
significant impact on the imaging quality of camera. Therefore, many image dehazing …

With the development of convolutional neural networks, hundreds of deep learning–based
dehazing methods have been proposed. In this article, we provide a comprehensive survey …

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 …

Single image dehazing, which aims at restoring a haze-free image from its correspondingly
unconstrained hazy scene, is a fundamental yet challenging task and has gained immense …

Single image-based dehazing has achieved remarkable progress with the development of
deep learning technologies. End-to-end neural networks have been proposed to learn a …

Single image dehazing is a crucial and preliminary task for many computer vision
applications, making progress with deep learning. The dehazing task is an ill-posed problem …

Restoring high-quality images from degraded hazy observations is a fundamental and
essential task in the field of computer vision. While deep models have achieved significant …

In recent years, learning-based single image dehazing networks have been
comprehensively developed. However, performance improvement is limited due to domain …

Image restoration is the process of recovering a clean image from a degraded observation.
In order to achieve this, it is essential to refine features at multiple scales. This paper …

Single image dehazing has received a lot of concern and achieved great success with the
help of deep-learning models. Yet, the performance is limited by the local limitation of …