Poor weather conditions, such as fog, haze, and mist, cause visibility degradation in
captured images. Existing imaging devices lack the ability to effectively and efficiently …

In this letter, we present a conditional generative adversarial network-based model for real-
time underwater image enhancement. To supervise the adversarial training, we formulate an …

In this paper, we introduce and tackle the simultaneous enhancement and super-resolution
(SESR) problem for underwater robot vision and provide an efficient solution for near real …

Vehicle detection and tracking play an important role in autonomous vehicles and intelligent
transportation systems. Adverse weather conditions such as the presence of heavy snow …

Haze can seriously affect the visible and visual quality of outdoor images. As a challenge in
practice, image dehazing techniques are always used to remove haze from the captured …

Recently, self-driving vehicles have been introduced with several automated features
including lane-keep assistance, queuing assistance in traffic-jam, parking assistance and …

Remote sensing images have been widely used in military, national defense, disaster
emergency response, ecological environment monitoring, among other applications …

The increasing demand for image dehazing-based applications has raised the value of
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …

Color correction for underwater images has received increasing interest, due to its critical
role in facilitating available mature vision algorithms for underwater scenarios. Inspired by …

Given the rapid development of dehazing image algorithms, selecting the optimal algorithm
based on multiple criteria is crucial in determining the efficiency of an algorithm. However, a …