With the growing number of cars in cities, smart parking is gradually becoming a strategic
issue in building a smart city. As the precondition in smart parking, accurate parking …

Object detection accuracy degrades seriously in visually degraded scenes. A natural
solution is to first enhance the degraded image and then perform object detection. However …

Haze superimposes a veil over remote sensing images, which severely limits the extraction
of valuable military information. To this end, we present a novel trinity model to restore …

Recently, improving the visual quality of underwater images has received extensive
attentions in both computer vision and ocean engineering fields. However, existing works …

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 …

Since underwater images are seriously degraded due to the attenuation of light, artificial
light (AL) is often used to assist photography in underwater. However, the normal …

Severe contrast degradation in an image result in a substantial loss of crucial visible
information. A novel unsupervised image enhancement algorithm is proposed in this paper …

In this paper, we study two challenging but less-touched problems in image restoration,
namely, i) how to quantify the relationship between image degradations and ii) how to …

Mental fatigue detection based on Electroencephalogram (EEG) is an objective and effective
detection method. However, individual variability and variability in mental fatigue …

Semantic segmentation is a growing topic in high-resolution remote sensing image
processing. The information in remote sensing images is complex, and the effectiveness of …