Image captured under poor-illumination conditions often display attributes of having poor
contrasts, low brightness, a narrow gray range, colour distortions and considerable …

We present a novel method for underwater image restoration, which combines a
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …

In real scenes, due to the problems of low light and unsuitable views, the images often
exhibit a variety of degradations, such as low contrast, color distortion, and noise. These …

A main challenge faced in the deep learning-based Underwater Image Enhancement (UIE)
is that the ground truth high-quality image is unavailable. Most of the existing methods first …

The fault diagnosis methods based on convolutional neural network (CNN) have achieved
many excellent results. However, owing to the deployment cost, numerous CNNs with large …

Vision-guided autonomous underwater vehicles based on remote sensing play an important
role in ocean missions. However, some problems exist in underwater visual perception …

Underwater images often suffer from quality deteriorations such as color deviation, reduced
contrast, and blurred details due to wavelength-dependent light absorption and scattering in …

深度卷积神经网络是水下图像增强的主要方法之一, 但其过高的内存消耗和计算需求阻碍了在
实际应用中的部署. 为此, 提出一种轻量级的密集残差卷积神经网络(dense residual …

Image relighting is attracting increasing interest due to its various applications. From a
research perspective, image relighting can be exploited to conduct both image …

In this paper, an object detection and recognition method based on improved YOLOv5 is
proposed for application on unmanned aerial vehicle (UAV) aerial images. Firstly, we …