Recent years have witnessed significant advances in image deraining due to the kinds of
effective image priors and deep learning models. As each deraining approach has …

Underwater image enhancement presents a significant challenge due to the complex and
diverse underwater environments that result in severe degradation phenomena such as light …

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 …

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 …

Various unfavourable conditions such as fog, snow and rain may degrade image quality and
pose tremendous threats to the safety of autonomous driving. Numerous image-denoising …

Deep learning-based image restoration methods trained on synthetic datasets have
witnessed notable progress, but suffer from significant performance drops on real-world …

Image dehazing is a critical image pre-processing task to estimate the haze-free images
corresponding to the input hazy images. Despite the recent advances, the task of image …

While the wisdom of training an image dehazing model on synthetic hazy data can alleviate
the difficulty of collecting real-world hazy/clean image pairs, it brings the well-known domain …

Image dehazing, particularly with learning-based methods, has gained significant attention
due to its importance in real-world applications. However, relying solely on the RGB color …

Self-supervised learning methods have demonstrated promising benefits to feature
representation learning for image dehazing tasks, especially for avoiding the laborious work …